Preproccessing.ipynb

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  "metadata": {
    "colab": {
      "name": "Preproccessing.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "CJFfSVK3et5m",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a8556056-b5ac-4d66-9cd8-dc584840785a"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K4SZvrXGorfR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a4259841-eebd-4caa-9626-ab94be05e091"
      },
      "source": [
        "#importing neccessary libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import socket, struct\n",
        "\n",
        "import imblearn\n",
        "from imblearn.under_sampling import RandomUnderSampler\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from collections import Counter\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from imblearn.pipeline import make_pipeline\n",
        "from imblearn.under_sampling import NearMiss"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/externals/six.py:31: FutureWarning: The module is deprecated in version 0.21 and will be removed in version 0.23 since we've dropped support for Python 2.7. Please rely on the official version of six (https://pypi.org/project/six/).\n",
            "  \"(https://pypi.org/project/six/).\", FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
            "  warnings.warn(message, FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JsmeaYLHjuKb"
      },
      "source": [
        "# reading the dataset from the google drive\r\n",
        "df=pd.read_csv(\"/content/drive/MyDrive/CDataset-Unicauca-Version2-87Atts.csv\") "
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MB6WsFqNoX_e"
      },
      "source": [
        "#function to unpack the ip address of source and destination\n",
        "def ip2int(ip):\n",
        "    packedIP = socket.inet_aton(ip)\n",
        "    return struct.unpack(\"!L\", packedIP)[0]     "
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MtVf-Z6BYmZF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 412
        },
        "outputId": "bd83fff9-39ab-4558-f5e6-5887b7e3abf9"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>Bwd.IAT.Max</th>\n",
              "      <th>Bwd.IAT.Min</th>\n",
              "      <th>Fwd.PSH.Flags</th>\n",
              "      <th>Bwd.PSH.Flags</th>\n",
              "      <th>Fwd.URG.Flags</th>\n",
              "      <th>Bwd.URG.Flags</th>\n",
              "      <th>...</th>\n",
              "      <th>Packet.Length.Std</th>\n",
              "      <th>Packet.Length.Variance</th>\n",
              "      <th>FIN.Flag.Count</th>\n",
              "      <th>SYN.Flag.Count</th>\n",
              "      <th>RST.Flag.Count</th>\n",
              "      <th>PSH.Flag.Count</th>\n",
              "      <th>ACK.Flag.Count</th>\n",
              "      <th>URG.Flag.Count</th>\n",
              "      <th>CWE.Flag.Count</th>\n",
              "      <th>ECE.Flag.Count</th>\n",
              "      <th>Down.Up.Ratio</th>\n",
              "      <th>Average.Packet.Size</th>\n",
              "      <th>Avg.Fwd.Segment.Size</th>\n",
              "      <th>Avg.Bwd.Segment.Size</th>\n",
              "      <th>Fwd.Header.Length.1</th>\n",
              "      <th>Fwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Fwd.Avg.Packets.Bulk</th>\n",
              "      <th>Fwd.Avg.Bulk.Rate</th>\n",
              "      <th>Bwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Bwd.Avg.Packets.Bulk</th>\n",
              "      <th>Bwd.Avg.Bulk.Rate</th>\n",
              "      <th>Subflow.Fwd.Packets</th>\n",
              "      <th>Subflow.Fwd.Bytes</th>\n",
              "      <th>Subflow.Bwd.Packets</th>\n",
              "      <th>Subflow.Bwd.Bytes</th>\n",
              "      <th>Init_Win_bytes_forward</th>\n",
              "      <th>Init_Win_bytes_backward</th>\n",
              "      <th>act_data_pkt_fwd</th>\n",
              "      <th>min_seg_size_forward</th>\n",
              "      <th>Active.Mean</th>\n",
              "      <th>Active.Std</th>\n",
              "      <th>Active.Max</th>\n",
              "      <th>Active.Min</th>\n",
              "      <th>Idle.Mean</th>\n",
              "      <th>Idle.Std</th>\n",
              "      <th>Idle.Max</th>\n",
              "      <th>Idle.Min</th>\n",
              "      <th>Label</th>\n",
              "      <th>L7Protocol</th>\n",
              "      <th>ProtocolName</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>172.19.1.46-10.200.7.7-52422-3128-6</td>\n",
              "      <td>172.19.1.46</td>\n",
              "      <td>52422</td>\n",
              "      <td>10.200.7.7</td>\n",
              "      <td>3128</td>\n",
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              "      <td>45523</td>\n",
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              "      <td>6</td>\n",
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              "      <td>1187</td>\n",
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              "      <td>768.481689</td>\n",
              "      <td>2.428355e+06</td>\n",
              "      <td>1.691453e+03</td>\n",
              "      <td>598.986842</td>\n",
              "      <td>816.061346</td>\n",
              "      <td>3880.0</td>\n",
              "      <td>1</td>\n",
              "      <td>45523.0</td>\n",
              "      <td>2167.761905</td>\n",
              "      <td>1319.384512</td>\n",
              "      <td>5988.0</td>\n",
              "      <td>698.0</td>\n",
              "      <td>41178.0</td>\n",
              "      <td>762.555556</td>\n",
              "      <td>1230.348220</td>\n",
              "      <td>5133.0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>490</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
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              "      <td>HTTP_PROXY</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>172.19.1.46-10.200.7.7-52422-3128-6</td>\n",
              "      <td>10.200.7.7</td>\n",
              "      <td>3128</td>\n",
              "      <td>172.19.1.46</td>\n",
              "      <td>52422</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>1</td>\n",
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              "      <td>2</td>\n",
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              "      <td>-1</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>131</td>\n",
              "      <td>HTTP_PROXY</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10.200.7.217-50.31.185.39-38848-80-6</td>\n",
              "      <td>50.31.185.39</td>\n",
              "      <td>80</td>\n",
              "      <td>10.200.7.217</td>\n",
              "      <td>38848</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
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              "      <td>674</td>\n",
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              "      <td>6.740000e+08</td>\n",
              "      <td>3.000000e+06</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.707107</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.500000</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>7</td>\n",
              "      <td>HTTP</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>50.31.185.39</td>\n",
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              "      <td>10.200.7.217</td>\n",
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              "      <td>1.843318e+04</td>\n",
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              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>888</td>\n",
              "      <td>490</td>\n",
              "      <td>0</td>\n",
              "      <td>32</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>7</td>\n",
              "      <td>HTTP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>192.168.72.43-10.200.7.7-55961-3128-6</td>\n",
              "      <td>192.168.72.43</td>\n",
              "      <td>55961</td>\n",
              "      <td>10.200.7.7</td>\n",
              "      <td>3128</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>78068</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>1076</td>\n",
              "      <td>0.0</td>\n",
              "      <td>529</td>\n",
              "      <td>6</td>\n",
              "      <td>215.200000</td>\n",
              "      <td>286.458898</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.378286e+04</td>\n",
              "      <td>6.404673e+01</td>\n",
              "      <td>19517.000000</td>\n",
              "      <td>25758.502350</td>\n",
              "      <td>54313.0</td>\n",
              "      <td>0</td>\n",
              "      <td>78068.0</td>\n",
              "      <td>19517.000000</td>\n",
              "      <td>25758.502350</td>\n",
              "      <td>54313.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>286.458898</td>\n",
              "      <td>8.205870e+04</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>321.00000</td>\n",
              "      <td>215.200000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>100</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>1076</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>253</td>\n",
              "      <td>-1</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>131</td>\n",
              "      <td>HTTP_PROXY</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 87 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 Flow.ID  ... ProtocolName\n",
              "0    172.19.1.46-10.200.7.7-52422-3128-6  ...   HTTP_PROXY\n",
              "1    172.19.1.46-10.200.7.7-52422-3128-6  ...   HTTP_PROXY\n",
              "2   10.200.7.217-50.31.185.39-38848-80-6  ...         HTTP\n",
              "3   10.200.7.217-50.31.185.39-38848-80-6  ...         HTTP\n",
              "4  192.168.72.43-10.200.7.7-55961-3128-6  ...   HTTP_PROXY\n",
              "\n",
              "[5 rows x 87 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1vMfWOtqkUMZ"
      },
      "source": [
        "df['Source.IP'] = df['Source.IP'].apply(ip2int)\n",
        "df['Destination.IP'] = df['Destination.IP'].apply(ip2int)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 412
        },
        "id": "M8FgFzXCo6_w",
        "outputId": "e8ac914c-5a54-4a5c-a556-7fda5486bc0c"
      },
      "source": [
        "#checking for the null values in the dataset \r\n",
        "df.isnull().values.any()\r\n",
        "df.head()                        "
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Flow.ID</th>\n",
              "      <th>Source.IP</th>\n",
              "      <th>Source.Port</th>\n",
              "      <th>Destination.IP</th>\n",
              "      <th>Destination.Port</th>\n",
              "      <th>Protocol</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>Flow.Duration</th>\n",
              "      <th>Total.Fwd.Packets</th>\n",
              "      <th>Total.Backward.Packets</th>\n",
              "      <th>Total.Length.of.Fwd.Packets</th>\n",
              "      <th>Total.Length.of.Bwd.Packets</th>\n",
              "      <th>Fwd.Packet.Length.Max</th>\n",
              "      <th>Fwd.Packet.Length.Min</th>\n",
              "      <th>Fwd.Packet.Length.Mean</th>\n",
              "      <th>Fwd.Packet.Length.Std</th>\n",
              "      <th>Bwd.Packet.Length.Max</th>\n",
              "      <th>Bwd.Packet.Length.Min</th>\n",
              "      <th>Bwd.Packet.Length.Mean</th>\n",
              "      <th>Bwd.Packet.Length.Std</th>\n",
              "      <th>Flow.Bytes.s</th>\n",
              "      <th>Flow.Packets.s</th>\n",
              "      <th>Flow.IAT.Mean</th>\n",
              "      <th>Flow.IAT.Std</th>\n",
              "      <th>Flow.IAT.Max</th>\n",
              "      <th>Flow.IAT.Min</th>\n",
              "      <th>Fwd.IAT.Total</th>\n",
              "      <th>Fwd.IAT.Mean</th>\n",
              "      <th>Fwd.IAT.Std</th>\n",
              "      <th>Fwd.IAT.Max</th>\n",
              "      <th>Fwd.IAT.Min</th>\n",
              "      <th>Bwd.IAT.Total</th>\n",
              "      <th>Bwd.IAT.Mean</th>\n",
              "      <th>Bwd.IAT.Std</th>\n",
              "      <th>Bwd.IAT.Max</th>\n",
              "      <th>Bwd.IAT.Min</th>\n",
              "      <th>Fwd.PSH.Flags</th>\n",
              "      <th>Bwd.PSH.Flags</th>\n",
              "      <th>Fwd.URG.Flags</th>\n",
              "      <th>Bwd.URG.Flags</th>\n",
              "      <th>...</th>\n",
              "      <th>Packet.Length.Std</th>\n",
              "      <th>Packet.Length.Variance</th>\n",
              "      <th>FIN.Flag.Count</th>\n",
              "      <th>SYN.Flag.Count</th>\n",
              "      <th>RST.Flag.Count</th>\n",
              "      <th>PSH.Flag.Count</th>\n",
              "      <th>ACK.Flag.Count</th>\n",
              "      <th>URG.Flag.Count</th>\n",
              "      <th>CWE.Flag.Count</th>\n",
              "      <th>ECE.Flag.Count</th>\n",
              "      <th>Down.Up.Ratio</th>\n",
              "      <th>Average.Packet.Size</th>\n",
              "      <th>Avg.Fwd.Segment.Size</th>\n",
              "      <th>Avg.Bwd.Segment.Size</th>\n",
              "      <th>Fwd.Header.Length.1</th>\n",
              "      <th>Fwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Fwd.Avg.Packets.Bulk</th>\n",
              "      <th>Fwd.Avg.Bulk.Rate</th>\n",
              "      <th>Bwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Bwd.Avg.Packets.Bulk</th>\n",
              "      <th>Bwd.Avg.Bulk.Rate</th>\n",
              "      <th>Subflow.Fwd.Packets</th>\n",
              "      <th>Subflow.Fwd.Bytes</th>\n",
              "      <th>Subflow.Bwd.Packets</th>\n",
              "      <th>Subflow.Bwd.Bytes</th>\n",
              "      <th>Init_Win_bytes_forward</th>\n",
              "      <th>Init_Win_bytes_backward</th>\n",
              "      <th>act_data_pkt_fwd</th>\n",
              "      <th>min_seg_size_forward</th>\n",
              "      <th>Active.Mean</th>\n",
              "      <th>Active.Std</th>\n",
              "      <th>Active.Max</th>\n",
              "      <th>Active.Min</th>\n",
              "      <th>Idle.Mean</th>\n",
              "      <th>Idle.Std</th>\n",
              "      <th>Idle.Max</th>\n",
              "      <th>Idle.Min</th>\n",
              "      <th>Label</th>\n",
              "      <th>L7Protocol</th>\n",
              "      <th>ProtocolName</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>172.19.1.46-10.200.7.7-52422-3128-6</td>\n",
              "      <td>2886926638</td>\n",
              "      <td>52422</td>\n",
              "      <td>180881159</td>\n",
              "      <td>3128</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>45523</td>\n",
              "      <td>22</td>\n",
              "      <td>55</td>\n",
              "      <td>132</td>\n",
              "      <td>110414.0</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4380</td>\n",
              "      <td>1187</td>\n",
              "      <td>2007.527273</td>\n",
              "      <td>768.481689</td>\n",
              "      <td>2.428355e+06</td>\n",
              "      <td>1.691453e+03</td>\n",
              "      <td>598.986842</td>\n",
              "      <td>816.061346</td>\n",
              "      <td>3880.0</td>\n",
              "      <td>1</td>\n",
              "      <td>45523.0</td>\n",
              "      <td>2167.761905</td>\n",
              "      <td>1319.384512</td>\n",
              "      <td>5988.0</td>\n",
              "      <td>698.0</td>\n",
              "      <td>41178.0</td>\n",
              "      <td>762.555556</td>\n",
              "      <td>1230.348220</td>\n",
              "      <td>5133.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1121.579194</td>\n",
              "      <td>1.257940e+06</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1435.74026</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2007.527273</td>\n",
              "      <td>440</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>22</td>\n",
              "      <td>132</td>\n",
              "      <td>55</td>\n",
              "      <td>110414</td>\n",
              "      <td>256</td>\n",
              "      <td>490</td>\n",
              "      <td>21</td>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>131</td>\n",
              "      <td>HTTP_PROXY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>172.19.1.46-10.200.7.7-52422-3128-6</td>\n",
              "      <td>180881159</td>\n",
              "      <td>3128</td>\n",
              "      <td>2886926638</td>\n",
              "      <td>52422</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.200000e+07</td>\n",
              "      <td>2.000000e+06</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9.00000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>40</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>490</td>\n",
              "      <td>-1</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>131</td>\n",
              "      <td>HTTP_PROXY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10.200.7.217-50.31.185.39-38848-80-6</td>\n",
              "      <td>840939815</td>\n",
              "      <td>80</td>\n",
              "      <td>180881369</td>\n",
              "      <td>38848</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>674</td>\n",
              "      <td>0.0</td>\n",
              "      <td>337</td>\n",
              "      <td>0</td>\n",
              "      <td>224.666667</td>\n",
              "      <td>194.567041</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6.740000e+08</td>\n",
              "      <td>3.000000e+06</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.707107</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.707107</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>168.500000</td>\n",
              "      <td>2.839225e+04</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>337.00000</td>\n",
              "      <td>224.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>96</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>674</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>888</td>\n",
              "      <td>-1</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>7</td>\n",
              "      <td>HTTP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10.200.7.217-50.31.185.39-38848-80-6</td>\n",
              "      <td>840939815</td>\n",
              "      <td>80</td>\n",
              "      <td>180881369</td>\n",
              "      <td>38848</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>217</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.843318e+04</td>\n",
              "      <td>72.333333</td>\n",
              "      <td>62.660461</td>\n",
              "      <td>110.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>107.0</td>\n",
              "      <td>53.500000</td>\n",
              "      <td>75.660426</td>\n",
              "      <td>107.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>888</td>\n",
              "      <td>490</td>\n",
              "      <td>0</td>\n",
              "      <td>32</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>7</td>\n",
              "      <td>HTTP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>192.168.72.43-10.200.7.7-55961-3128-6</td>\n",
              "      <td>3232253995</td>\n",
              "      <td>55961</td>\n",
              "      <td>180881159</td>\n",
              "      <td>3128</td>\n",
              "      <td>6</td>\n",
              "      <td>26/04/201711:11:17</td>\n",
              "      <td>78068</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>1076</td>\n",
              "      <td>0.0</td>\n",
              "      <td>529</td>\n",
              "      <td>6</td>\n",
              "      <td>215.200000</td>\n",
              "      <td>286.458898</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.378286e+04</td>\n",
              "      <td>6.404673e+01</td>\n",
              "      <td>19517.000000</td>\n",
              "      <td>25758.502350</td>\n",
              "      <td>54313.0</td>\n",
              "      <td>0</td>\n",
              "      <td>78068.0</td>\n",
              "      <td>19517.000000</td>\n",
              "      <td>25758.502350</td>\n",
              "      <td>54313.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>286.458898</td>\n",
              "      <td>8.205870e+04</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>321.00000</td>\n",
              "      <td>215.200000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>100</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>1076</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>253</td>\n",
              "      <td>-1</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>BENIGN</td>\n",
              "      <td>131</td>\n",
              "      <td>HTTP_PROXY</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 87 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 Flow.ID   Source.IP  ...  L7Protocol  ProtocolName\n",
              "0    172.19.1.46-10.200.7.7-52422-3128-6  2886926638  ...         131    HTTP_PROXY\n",
              "1    172.19.1.46-10.200.7.7-52422-3128-6   180881159  ...         131    HTTP_PROXY\n",
              "2   10.200.7.217-50.31.185.39-38848-80-6   840939815  ...           7          HTTP\n",
              "3   10.200.7.217-50.31.185.39-38848-80-6   840939815  ...           7          HTTP\n",
              "4  192.168.72.43-10.200.7.7-55961-3128-6  3232253995  ...         131    HTTP_PROXY\n",
              "\n",
              "[5 rows x 87 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1N38TYGJo9__",
        "outputId": "9199daa1-1ad0-4790-afae-dda3c116534b"
      },
      "source": [
        "print(df.dtypes)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Flow.ID              object\n",
            "Source.IP             int64\n",
            "Source.Port           int64\n",
            "Destination.IP        int64\n",
            "Destination.Port      int64\n",
            "                     ...   \n",
            "Idle.Max            float64\n",
            "Idle.Min            float64\n",
            "Label                object\n",
            "L7Protocol            int64\n",
            "ProtocolName         object\n",
            "Length: 87, dtype: object\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "paGoYmA1pACO",
        "outputId": "ae29a1c9-1095-4a95-f320-6f116dfa9ed1"
      },
      "source": [
        "#checking for the unique values and keeping only the columns which are unique\r\n",
        "df.columns[df.nunique() <= 1]"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Bwd.PSH.Flags', 'Fwd.URG.Flags', 'Bwd.URG.Flags', 'CWE.Flag.Count',\n",
              "       'Fwd.Avg.Bytes.Bulk', 'Fwd.Avg.Packets.Bulk', 'Fwd.Avg.Bulk.Rate',\n",
              "       'Bwd.Avg.Bytes.Bulk', 'Bwd.Avg.Packets.Bulk', 'Bwd.Avg.Bulk.Rate',\n",
              "       'Label'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B_NWvBHypCHU",
        "outputId": "e0eb5f02-0edf-4d9b-bf77-7e7f26361335"
      },
      "source": [
        "df.tail(50)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SPOTIFY              1269\n",
              "APPLE_ICLOUD         1200\n",
              "EBAY                 1192\n",
              "SSL_NO_CERT           856\n",
              "GOOGLE_MAPS           807\n",
              "EASYTAXI              705\n",
              "TEAMVIEWER            527\n",
              "HTTP_DOWNLOAD         516\n",
              "MQTT                  302\n",
              "TOR                   276\n",
              "FTP_DATA              251\n",
              "UBUNTUONE             249\n",
              "NTP                   135\n",
              "SSH                   102\n",
              "EDONKEY                95\n",
              "WAZE                   79\n",
              "DEEZER                 74\n",
              "UNENCRYPED_JABBER      45\n",
              "CITRIX_ONLINE          38\n",
              "TIMMEU                 34\n",
              "UPNP                   34\n",
              "TELEGRAM               33\n",
              "FTP_CONTROL            25\n",
              "TWITCH                 24\n",
              "H323                   21\n",
              "MSSQL                  21\n",
              "CNN                    20\n",
              "LASTFM                 18\n",
              "CITRIX                 17\n",
              "ORACLE                 14\n",
              "TEAMSPEAK              12\n",
              "BGP                    11\n",
              "RTMP                   10\n",
              "WHOIS_DAS              10\n",
              "BITTORRENT             10\n",
              "MAIL_IMAPS              9\n",
              "SKINNY                  9\n",
              "OPENSIGNAL              9\n",
              "OSCAR                   7\n",
              "LOTUS_NOTES             6\n",
              "IP_OSPF                 5\n",
              "SIMET                   5\n",
              "RADIUS                  5\n",
              "SNMP                    4\n",
              "OPENVPN                 4\n",
              "STARCRAFT               3\n",
              "QQ                      2\n",
              "SOCKS                   1\n",
              "99TAXI                  1\n",
              "NFS                     1\n",
              "Name: ProtocolName, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ol9l1KZXpFZb",
        "outputId": "cda57840-bdf8-4be9-bb32-b58f6fde10e0"
      },
      "source": [
        "# Deleting the last 25 values since it doesnt contain enough values to train\n",
        "feats_toDelete = df['ProtocolName'].value_counts()[-25:].index\n",
        "feats_toDelete"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['H323', 'CNN', 'LASTFM', 'CITRIX', 'ORACLE', 'TEAMSPEAK', 'BGP', 'RTMP',\n",
              "       'WHOIS_DAS', 'BITTORRENT', 'OPENSIGNAL', 'SKINNY', 'MAIL_IMAPS',\n",
              "       'OSCAR', 'LOTUS_NOTES', 'RADIUS', 'IP_OSPF', 'SIMET', 'OPENVPN', 'SNMP',\n",
              "       'STARCRAFT', 'QQ', 'NFS', 'SOCKS', '99TAXI'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 707
        },
        "id": "HViUoGJjpIoP",
        "outputId": "3c0d69cb-0db9-4ee5-ad2b-93e9e7135ec2"
      },
      "source": [
        "# plotting the graph between the output variable and no of instances of that classes\n",
        "target_count = df['ProtocolName'].value_counts()\n",
        "plt.figure(figsize=(16,10))\n",
        "target_count.plot(kind='bar', title='Occurance');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T_4biLNdpLDI"
      },
      "source": [
        "df = df[~df.ProtocolName.isin(feats_toDelete)]"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 707
        },
        "id": "q4bUdT8jpNSq",
        "outputId": "651355d2-75b1-4872-ef21-e323bce53b42"
      },
      "source": [
        "target_count2 = df['ProtocolName'].value_counts()\n",
        "plt.figure(figsize=(16,10))\n",
        "target_count2.plot(kind='bar', title='Occurance');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gWLmu2yDpP7i"
      },
      "source": [
        "feats = [x for x in df.columns if x != 'ProtocolName' and x!='Flow.ID' and x!='Timestamp' and x!='Label']\n",
        "X = df[feats].astype(float)\n",
        "Y = df['ProtocolName']"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VlHQkkNOpSqk"
      },
      "source": [
        "#label encoding the dataset\n",
        "encoder = LabelEncoder()\n",
        "encoder.fit(Y)\n",
        "encoded_Y = encoder.transform(Y)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pajKBBs7rQ0b",
        "outputId": "28f5a8bb-380b-4353-82be-2e39e5de6942"
      },
      "source": [
        "print(sorted(Counter(Y).items()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[('AMAZON', 86875), ('APPLE', 7615), ('APPLE_ICLOUD', 1200), ('APPLE_ITUNES', 1287), ('CITRIX_ONLINE', 38), ('CLOUDFLARE', 14737), ('CONTENT_FLASH', 8589), ('DEEZER', 74), ('DNS', 1695), ('DROPBOX', 25102), ('EASYTAXI', 705), ('EBAY', 1192), ('EDONKEY', 95), ('FACEBOOK', 29033), ('FTP_CONTROL', 25), ('FTP_DATA', 251), ('GMAIL', 40260), ('GOOGLE', 959110), ('GOOGLE_MAPS', 807), ('H323', 21), ('HTTP', 683734), ('HTTP_CONNECT', 317526), ('HTTP_DOWNLOAD', 516), ('HTTP_PROXY', 623210), ('INSTAGRAM', 2415), ('IP_ICMP', 1631), ('MICROSOFT', 54710), ('MQTT', 302), ('MSN', 14478), ('MS_ONE_DRIVE', 1748), ('NETFLIX', 1560), ('NTP', 135), ('OFFICE_365', 5941), ('SKYPE', 30657), ('SPOTIFY', 1269), ('SSH', 102), ('SSL', 404883), ('SSL_NO_CERT', 856), ('TEAMVIEWER', 527), ('TELEGRAM', 33), ('TIMMEU', 34), ('TOR', 276), ('TWITCH', 24), ('TWITTER', 18259), ('UBUNTUONE', 249), ('UNENCRYPED_JABBER', 45), ('UPNP', 34), ('WAZE', 79), ('WHATSAPP', 4593), ('WIKIPEDIA', 2025), ('WINDOWS_UPDATE', 34471), ('YAHOO', 21268), ('YOUTUBE', 170781)]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jgvKEjxZrUwa",
        "outputId": "aaee047d-b91f-464b-aa62-90913b05b433"
      },
      "source": [
        "print(sorted(Counter(encoded_Y).items()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[(0, 86875), (1, 7615), (2, 1200), (3, 1287), (4, 38), (5, 14737), (6, 8589), (7, 74), (8, 1695), (9, 25102), (10, 705), (11, 1192), (12, 95), (13, 29033), (14, 25), (15, 251), (16, 40260), (17, 959110), (18, 807), (19, 21), (20, 683734), (21, 317526), (22, 516), (23, 623210), (24, 2415), (25, 1631), (26, 54710), (27, 302), (28, 14478), (29, 1748), (30, 1560), (31, 135), (32, 5941), (33, 30657), (34, 1269), (35, 102), (36, 404883), (37, 856), (38, 527), (39, 33), (40, 34), (41, 276), (42, 24), (43, 18259), (44, 249), (45, 45), (46, 34), (47, 79), (48, 4593), (49, 2025), (50, 34471), (51, 21268), (52, 170781)]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JquOAqCurYJ-"
      },
      "source": [
        "dict_nearMiss = {\n",
        "\"GOOGLE\":            10000,\n",
        "\"HTTP\":              10000,\n",
        "\"HTTP_PROXY\":        10000,\n",
        "\"SSL\":               10000,\n",
        "\"HTTP_CONNECT\":      10000,\n",
        "\"YOUTUBE\":           10000,\n",
        "\"AMAZON\":             10000,\n",
        "\"MICROSOFT\":          10000,\n",
        "\"GMAIL\":              10000,\n",
        "\"WINDOWS_UPDATE\":     10000,\n",
        "\"SKYPE\":              10000,\n",
        "\"FACEBOOK\":           10000,\n",
        "\"DROPBOX\":            10000,\n",
        "\"YAHOO\":              10000,\n",
        "\"TWITTER\":            10000,\n",
        "\"CLOUDFLARE\":         10000,\n",
        "\"MSN\":                10000,\n",
        "}"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JbjjnhVCrb64",
        "outputId": "faf85192-6087-48f1-acad-cde22f358ef2"
      },
      "source": [
        "dict_smote = { \"CONTENT_FLASH\":       10000,\n",
        "\"APPLE\":               10000,\n",
        "\"OFFICE_365\":        10000,\n",
        "\"WHATSAPP\":            10000,\n",
        "\"INSTAGRAM\":          10000,\n",
        "\"WIKIPEDIA\":           10000,\n",
        "\"MS_ONE_DRIVE\":        10000,\n",
        "\"DNS\":                 10000,\n",
        "\"IP_ICMP\":             10000,\n",
        "\"NETFLIX\":             10000,\n",
        "\"APPLE_ITUNES\":        10000,\n",
        "\"SPOTIFY\":             10000,\n",
        "\"APPLE_ICLOUD\":        10000,\n",
        "\"EBAY\":               10000,\n",
        "\"SSL_NO_CERT\":          10000,\n",
        "\"GOOGLE_MAPS\":          10000,\n",
        "\"EASYTAXI\":             10000,\n",
        "\"TEAMVIEWER\":           10000,\n",
        "\"HTTP_DOWNLOAD\":        10000,\n",
        "\"MQTT\":                 10000,\n",
        "\"TOR\":                  10000,\n",
        "\"FTP_DATA\":             10000,\n",
        "\"UBUNTUONE\":            10000,\n",
        "\"NTP\":                  10000,\n",
        "\"SSH\": 10000}\n",
        "print(dict_smote)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'CONTENT_FLASH': 10000, 'APPLE': 10000, 'OFFICE_365': 10000, 'WHATSAPP': 10000, 'INSTAGRAM': 10000, 'WIKIPEDIA': 10000, 'MS_ONE_DRIVE': 10000, 'DNS': 10000, 'IP_ICMP': 10000, 'NETFLIX': 10000, 'APPLE_ITUNES': 10000, 'SPOTIFY': 10000, 'APPLE_ICLOUD': 10000, 'EBAY': 10000, 'SSL_NO_CERT': 10000, 'GOOGLE_MAPS': 10000, 'EASYTAXI': 10000, 'TEAMVIEWER': 10000, 'HTTP_DOWNLOAD': 10000, 'MQTT': 10000, 'TOR': 10000, 'FTP_DATA': 10000, 'UBUNTUONE': 10000, 'NTP': 10000, 'SSH': 10000}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "miCAA42Yrg6i"
      },
      "source": [
        "#balancing the dataset to some extent by using smote and nearmiss\n",
        "pipe = make_pipeline(\n",
        "    SMOTE(sampling_strategy=dict_smote),\n",
        "    NearMiss(sampling_strategy=dict_nearMiss)\n",
        ")\n"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IKFzfz2drmlM"
      },
      "source": [
        "X_resampled, y_resampled = pipe.fit_resample(X, Y)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_9y5A7TCrpO1"
      },
      "source": [
        "print(\"Total Shape \" + str(df.shape))\n",
        "print(\"Shape X \" + str(X.shape))\n",
        "print(\"Shape X_resampled\" + str(X_resampled.shape))\n",
        "print(\"Shape Y \" + str(Y.shape))\n",
        "print(\"Shape y_resampled\" + str(y_resampled.shape))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yFIHWTjvsMKA"
      },
      "source": [
        "new_dataframe = pd.DataFrame(data = X_resampled, columns = feats)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "09IDv4nSsRZp"
      },
      "source": [
        "new_dataframe['ProtocolName'] = y_resampled"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "GrcrhqiLsZY0",
        "outputId": "2ef61ac1-bad0-43cb-c5e9-616aeaf24311"
      },
      "source": [
        "\n",
        "new_dataframe.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Source.IP</th>\n",
              "      <th>Source.Port</th>\n",
              "      <th>Destination.IP</th>\n",
              "      <th>Destination.Port</th>\n",
              "      <th>Protocol</th>\n",
              "      <th>Flow.Duration</th>\n",
              "      <th>Total.Fwd.Packets</th>\n",
              "      <th>Total.Backward.Packets</th>\n",
              "      <th>Total.Length.of.Fwd.Packets</th>\n",
              "      <th>Total.Length.of.Bwd.Packets</th>\n",
              "      <th>Fwd.Packet.Length.Max</th>\n",
              "      <th>Fwd.Packet.Length.Min</th>\n",
              "      <th>Fwd.Packet.Length.Mean</th>\n",
              "      <th>Fwd.Packet.Length.Std</th>\n",
              "      <th>Bwd.Packet.Length.Max</th>\n",
              "      <th>Bwd.Packet.Length.Min</th>\n",
              "      <th>Bwd.Packet.Length.Mean</th>\n",
              "      <th>Bwd.Packet.Length.Std</th>\n",
              "      <th>Flow.Bytes.s</th>\n",
              "      <th>Flow.Packets.s</th>\n",
              "      <th>Flow.IAT.Mean</th>\n",
              "      <th>Flow.IAT.Std</th>\n",
              "      <th>Flow.IAT.Max</th>\n",
              "      <th>Flow.IAT.Min</th>\n",
              "      <th>Fwd.IAT.Total</th>\n",
              "      <th>Fwd.IAT.Mean</th>\n",
              "      <th>Fwd.IAT.Std</th>\n",
              "      <th>Fwd.IAT.Max</th>\n",
              "      <th>Fwd.IAT.Min</th>\n",
              "      <th>Bwd.IAT.Total</th>\n",
              "      <th>Bwd.IAT.Mean</th>\n",
              "      <th>Bwd.IAT.Std</th>\n",
              "      <th>Bwd.IAT.Max</th>\n",
              "      <th>Bwd.IAT.Min</th>\n",
              "      <th>Fwd.PSH.Flags</th>\n",
              "      <th>Bwd.PSH.Flags</th>\n",
              "      <th>Fwd.URG.Flags</th>\n",
              "      <th>Bwd.URG.Flags</th>\n",
              "      <th>Fwd.Header.Length</th>\n",
              "      <th>Bwd.Header.Length</th>\n",
              "      <th>...</th>\n",
              "      <th>Max.Packet.Length</th>\n",
              "      <th>Packet.Length.Mean</th>\n",
              "      <th>Packet.Length.Std</th>\n",
              "      <th>Packet.Length.Variance</th>\n",
              "      <th>FIN.Flag.Count</th>\n",
              "      <th>SYN.Flag.Count</th>\n",
              "      <th>RST.Flag.Count</th>\n",
              "      <th>PSH.Flag.Count</th>\n",
              "      <th>ACK.Flag.Count</th>\n",
              "      <th>URG.Flag.Count</th>\n",
              "      <th>CWE.Flag.Count</th>\n",
              "      <th>ECE.Flag.Count</th>\n",
              "      <th>Down.Up.Ratio</th>\n",
              "      <th>Average.Packet.Size</th>\n",
              "      <th>Avg.Fwd.Segment.Size</th>\n",
              "      <th>Avg.Bwd.Segment.Size</th>\n",
              "      <th>Fwd.Header.Length.1</th>\n",
              "      <th>Fwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Fwd.Avg.Packets.Bulk</th>\n",
              "      <th>Fwd.Avg.Bulk.Rate</th>\n",
              "      <th>Bwd.Avg.Bytes.Bulk</th>\n",
              "      <th>Bwd.Avg.Packets.Bulk</th>\n",
              "      <th>Bwd.Avg.Bulk.Rate</th>\n",
              "      <th>Subflow.Fwd.Packets</th>\n",
              "      <th>Subflow.Fwd.Bytes</th>\n",
              "      <th>Subflow.Bwd.Packets</th>\n",
              "      <th>Subflow.Bwd.Bytes</th>\n",
              "      <th>Init_Win_bytes_forward</th>\n",
              "      <th>Init_Win_bytes_backward</th>\n",
              "      <th>act_data_pkt_fwd</th>\n",
              "      <th>min_seg_size_forward</th>\n",
              "      <th>Active.Mean</th>\n",
              "      <th>Active.Std</th>\n",
              "      <th>Active.Max</th>\n",
              "      <th>Active.Min</th>\n",
              "      <th>Idle.Mean</th>\n",
              "      <th>Idle.Std</th>\n",
              "      <th>Idle.Max</th>\n",
              "      <th>Idle.Min</th>\n",
              "      <th>L7Protocol</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>...</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.0</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>420502.000000</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>4.205020e+05</td>\n",
              "      <td>420502.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1.722206e+09</td>\n",
              "      <td>41186.631616</td>\n",
              "      <td>1.061306e+09</td>\n",
              "      <td>4282.289605</td>\n",
              "      <td>6.358313</td>\n",
              "      <td>1.688350e+07</td>\n",
              "      <td>110.638181</td>\n",
              "      <td>94.071052</td>\n",
              "      <td>6.659018e+04</td>\n",
              "      <td>4.837983e+04</td>\n",
              "      <td>453.400877</td>\n",
              "      <td>9.013614</td>\n",
              "      <td>96.552465</td>\n",
              "      <td>129.390259</td>\n",
              "      <td>975.040608</td>\n",
              "      <td>9.542209</td>\n",
              "      <td>234.788038</td>\n",
              "      <td>292.481896</td>\n",
              "      <td>1.625842e+06</td>\n",
              "      <td>4.854999e+04</td>\n",
              "      <td>1.083663e+06</td>\n",
              "      <td>2.258290e+06</td>\n",
              "      <td>9.180863e+06</td>\n",
              "      <td>2.901899e+05</td>\n",
              "      <td>1.543586e+07</td>\n",
              "      <td>1.870561e+06</td>\n",
              "      <td>2.706600e+06</td>\n",
              "      <td>7.979371e+06</td>\n",
              "      <td>5.041639e+05</td>\n",
              "      <td>1.273954e+07</td>\n",
              "      <td>1.144457e+06</td>\n",
              "      <td>1.765832e+06</td>\n",
              "      <td>5.719597e+06</td>\n",
              "      <td>2.930285e+05</td>\n",
              "      <td>0.090105</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.990835e+03</td>\n",
              "      <td>2.612848e+03</td>\n",
              "      <td>...</td>\n",
              "      <td>1176.863954</td>\n",
              "      <td>167.746923</td>\n",
              "      <td>279.879387</td>\n",
              "      <td>2.484445e+05</td>\n",
              "      <td>0.006186</td>\n",
              "      <td>0.090105</td>\n",
              "      <td>0.001962</td>\n",
              "      <td>0.437417</td>\n",
              "      <td>0.494194</td>\n",
              "      <td>0.282023</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.001960</td>\n",
              "      <td>0.908941</td>\n",
              "      <td>176.979001</td>\n",
              "      <td>96.552465</td>\n",
              "      <td>234.788038</td>\n",
              "      <td>2.990835e+03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>110.638181</td>\n",
              "      <td>6.659018e+04</td>\n",
              "      <td>94.071052</td>\n",
              "      <td>4.837983e+04</td>\n",
              "      <td>13281.700416</td>\n",
              "      <td>1522.871860</td>\n",
              "      <td>92.562286</td>\n",
              "      <td>25.418558</td>\n",
              "      <td>4.377280e+05</td>\n",
              "      <td>1.315900e+05</td>\n",
              "      <td>5.988819e+05</td>\n",
              "      <td>3.397410e+05</td>\n",
              "      <td>5.121261e+06</td>\n",
              "      <td>5.407298e+05</td>\n",
              "      <td>5.620554e+06</td>\n",
              "      <td>4.665248e+06</td>\n",
              "      <td>131.661077</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.514578e+09</td>\n",
              "      <td>19787.777593</td>\n",
              "      <td>1.245740e+09</td>\n",
              "      <td>10847.328397</td>\n",
              "      <td>2.497317</td>\n",
              "      <td>3.355694e+07</td>\n",
              "      <td>1132.833601</td>\n",
              "      <td>959.822488</td>\n",
              "      <td>1.298006e+06</td>\n",
              "      <td>1.368240e+06</td>\n",
              "      <td>1434.720279</td>\n",
              "      <td>60.554471</td>\n",
              "      <td>233.188771</td>\n",
              "      <td>248.173843</td>\n",
              "      <td>1836.486534</td>\n",
              "      <td>83.542762</td>\n",
              "      <td>420.286818</td>\n",
              "      <td>462.210462</td>\n",
              "      <td>5.132382e+07</td>\n",
              "      <td>2.943213e+05</td>\n",
              "      <td>4.086063e+06</td>\n",
              "      <td>5.408911e+06</td>\n",
              "      <td>1.900160e+07</td>\n",
              "      <td>3.318046e+06</td>\n",
              "      <td>3.277348e+07</td>\n",
              "      <td>6.105187e+06</td>\n",
              "      <td>7.075343e+06</td>\n",
              "      <td>1.784485e+07</td>\n",
              "      <td>4.476262e+06</td>\n",
              "      <td>3.176728e+07</td>\n",
              "      <td>5.039639e+06</td>\n",
              "      <td>5.737031e+06</td>\n",
              "      <td>1.570010e+07</td>\n",
              "      <td>3.785278e+06</td>\n",
              "      <td>0.278152</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.161129e+04</td>\n",
              "      <td>2.581293e+04</td>\n",
              "      <td>...</td>\n",
              "      <td>2227.204970</td>\n",
              "      <td>263.530858</td>\n",
              "      <td>404.917791</td>\n",
              "      <td>6.318840e+05</td>\n",
              "      <td>0.075805</td>\n",
              "      <td>0.278152</td>\n",
              "      <td>0.040056</td>\n",
              "      <td>0.490495</td>\n",
              "      <td>0.494584</td>\n",
              "      <td>0.445069</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.040027</td>\n",
              "      <td>1.228438</td>\n",
              "      <td>272.224947</td>\n",
              "      <td>233.188771</td>\n",
              "      <td>420.286818</td>\n",
              "      <td>3.161129e+04</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1132.833601</td>\n",
              "      <td>1.298006e+06</td>\n",
              "      <td>959.822488</td>\n",
              "      <td>1.368240e+06</td>\n",
              "      <td>18614.602461</td>\n",
              "      <td>5389.877075</td>\n",
              "      <td>1007.595090</td>\n",
              "      <td>7.091595</td>\n",
              "      <td>3.618754e+06</td>\n",
              "      <td>1.311070e+06</td>\n",
              "      <td>4.337132e+06</td>\n",
              "      <td>3.415321e+06</td>\n",
              "      <td>1.452094e+07</td>\n",
              "      <td>3.013479e+06</td>\n",
              "      <td>1.550134e+07</td>\n",
              "      <td>1.399057e+07</td>\n",
              "      <td>57.893487</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>9.053086e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9.053086e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.666667e-02</td>\n",
              "      <td>2.000000e-01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.808813e+08</td>\n",
              "      <td>37570.104317</td>\n",
              "      <td>1.808812e+08</td>\n",
              "      <td>443.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>5.030000e+02</td>\n",
              "      <td>1.734442</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.665434e+01</td>\n",
              "      <td>5.750080e+00</td>\n",
              "      <td>2.566279e+02</td>\n",
              "      <td>4.077227e+01</td>\n",
              "      <td>4.270000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.200000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>...</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.200000e+01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.734442</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>490.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>92.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.726106e+09</td>\n",
              "      <td>49876.000000</td>\n",
              "      <td>1.808812e+08</td>\n",
              "      <td>3128.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>1.788810e+05</td>\n",
              "      <td>4.188891</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.920000e+02</td>\n",
              "      <td>1.440000e+02</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>32.555556</td>\n",
              "      <td>27.135463</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>22.500000</td>\n",
              "      <td>4.242641</td>\n",
              "      <td>2.843404e+03</td>\n",
              "      <td>9.083038e+01</td>\n",
              "      <td>1.360752e+04</td>\n",
              "      <td>2.796400e+04</td>\n",
              "      <td>1.141508e+05</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.097330e+05</td>\n",
              "      <td>1.324991e+04</td>\n",
              "      <td>1.557412e+04</td>\n",
              "      <td>7.111100e+04</td>\n",
              "      <td>1.728717e-01</td>\n",
              "      <td>3.082900e+04</td>\n",
              "      <td>3.757334e+03</td>\n",
              "      <td>4.815963e+03</td>\n",
              "      <td>1.842622e+04</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.120000e+02</td>\n",
              "      <td>1.040000e+02</td>\n",
              "      <td>...</td>\n",
              "      <td>227.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>56.297043</td>\n",
              "      <td>3.451926e+03</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.320276</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>56.000000</td>\n",
              "      <td>32.555556</td>\n",
              "      <td>22.500000</td>\n",
              "      <td>1.120000e+02</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.188891</td>\n",
              "      <td>1.920000e+02</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.440000e+02</td>\n",
              "      <td>8192.000000</td>\n",
              "      <td>249.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>22.138978</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>133.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.232254e+09</td>\n",
              "      <td>53624.980204</td>\n",
              "      <td>2.259303e+09</td>\n",
              "      <td>3128.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>1.056149e+07</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>1.304000e+03</td>\n",
              "      <td>4.038001e+03</td>\n",
              "      <td>501.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>105.500000</td>\n",
              "      <td>173.661258</td>\n",
              "      <td>1448.000000</td>\n",
              "      <td>0.662646</td>\n",
              "      <td>309.275132</td>\n",
              "      <td>526.235769</td>\n",
              "      <td>2.941176e+04</td>\n",
              "      <td>6.756757e+03</td>\n",
              "      <td>2.177946e+05</td>\n",
              "      <td>7.568460e+05</td>\n",
              "      <td>5.007281e+06</td>\n",
              "      <td>6.299070e+01</td>\n",
              "      <td>6.385781e+06</td>\n",
              "      <td>2.503459e+05</td>\n",
              "      <td>4.152121e+05</td>\n",
              "      <td>3.123975e+06</td>\n",
              "      <td>1.570000e+02</td>\n",
              "      <td>7.297084e+05</td>\n",
              "      <td>8.079072e+04</td>\n",
              "      <td>1.266707e+05</td>\n",
              "      <td>3.874844e+05</td>\n",
              "      <td>1.027790e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.179232e+02</td>\n",
              "      <td>3.280000e+02</td>\n",
              "      <td>...</td>\n",
              "      <td>1544.000000</td>\n",
              "      <td>245.649265</td>\n",
              "      <td>500.082156</td>\n",
              "      <td>2.598445e+05</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>261.427669</td>\n",
              "      <td>105.500000</td>\n",
              "      <td>309.275132</td>\n",
              "      <td>3.179232e+02</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1.304000e+03</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>4.038001e+03</td>\n",
              "      <td>14600.000000</td>\n",
              "      <td>604.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>32.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>175.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>3.632868e+09</td>\n",
              "      <td>65534.000000</td>\n",
              "      <td>3.650231e+09</td>\n",
              "      <td>65494.000000</td>\n",
              "      <td>17.000000</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>233033.000000</td>\n",
              "      <td>134496.000000</td>\n",
              "      <td>1.607666e+08</td>\n",
              "      <td>3.259112e+08</td>\n",
              "      <td>24616.000000</td>\n",
              "      <td>3235.000000</td>\n",
              "      <td>5965.538462</td>\n",
              "      <td>6143.343715</td>\n",
              "      <td>26064.000000</td>\n",
              "      <td>5277.000000</td>\n",
              "      <td>5277.000000</td>\n",
              "      <td>5606.903258</td>\n",
              "      <td>3.438000e+09</td>\n",
              "      <td>6.000000e+06</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>8.482437e+07</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>8.482437e+07</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.179227e+08</td>\n",
              "      <td>8.485275e+07</td>\n",
              "      <td>1.199999e+08</td>\n",
              "      <td>1.179227e+08</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.540980e+06</td>\n",
              "      <td>4.303888e+06</td>\n",
              "      <td>...</td>\n",
              "      <td>26064.000000</td>\n",
              "      <td>3615.797282</td>\n",
              "      <td>4884.176539</td>\n",
              "      <td>2.385518e+07</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>221.000000</td>\n",
              "      <td>3711.200000</td>\n",
              "      <td>5965.538462</td>\n",
              "      <td>5277.000000</td>\n",
              "      <td>7.540980e+06</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>233033.000000</td>\n",
              "      <td>1.607666e+08</td>\n",
              "      <td>134496.000000</td>\n",
              "      <td>3.259112e+08</td>\n",
              "      <td>65535.000000</td>\n",
              "      <td>65535.000000</td>\n",
              "      <td>101444.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>1.115558e+08</td>\n",
              "      <td>6.899167e+07</td>\n",
              "      <td>1.115558e+08</td>\n",
              "      <td>1.115558e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>6.988814e+07</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>1.200000e+08</td>\n",
              "      <td>222.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 83 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          Source.IP    Source.Port  ...      Idle.Min     L7Protocol\n",
              "count  4.205020e+05  420502.000000  ...  4.205020e+05  420502.000000\n",
              "mean   1.722206e+09   41186.631616  ...  4.665248e+06     131.661077\n",
              "std    1.514578e+09   19787.777593  ...  1.399057e+07      57.893487\n",
              "min    9.053086e+07       0.000000  ...  0.000000e+00       1.000000\n",
              "25%    1.808813e+08   37570.104317  ...  0.000000e+00      92.000000\n",
              "50%    2.726106e+09   49876.000000  ...  0.000000e+00     133.000000\n",
              "75%    3.232254e+09   53624.980204  ...  0.000000e+00     175.000000\n",
              "max    3.632868e+09   65534.000000  ...  1.200000e+08     222.000000\n",
              "\n",
              "[8 rows x 83 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ICTmeOHvscV6"
      },
      "source": [
        "#New dataframe which is preprocessed and ready for appplying algorithms\r\n",
        "new_dataframe.to_csv('/content/sample_data/finalbalanced.csv', index=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TGgFvz_UNV2F"
      },
      "source": [
        "##FINISHED"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}