Python implementation of Benford's Law tests.

benfordslaw is about the frequency distribution of leading digits.

Benford law helps in detecting the irregularity in a set of numbers. It can be used to detect fraud in image forensics(detecting whether the image is real or fake) or it can also be used to analyze inning scores of a cricketer(predicting whether that cricketer was involved in match-fixing or not).

Official repository for the paper "On the use of Benford's law to detect GAN-generated images", ICPR2020

This project focuses on detecting a specific form of image forgery known as a copy-move attack, in which a portion of an image is copied and pasted elsewhere.

📈 Trying to figure out if coronavirus cases and deaths behave similarly to benford's law

Experiment with Benford's Law to find data anomalies in number lists and images (Windows, macOS, Linux, .NET 8.0, x64, Arm64, Apple Silicon)

A framework for Benford's Law conformity assessment.

An experiment to demonstrate the biases and predictability of our world.

Analysis Taiwan 2020 presidential election by using Benford's law 用班佛定律分析台灣2020選舉

Research based around a simple yet fascinating repetitive piecewise function.

The Wirecard scandal is considered one of the largest financial scandals of the decade, which caused losses of several billion euros. This analysis examines the digit structure of Wirecard's financial figures in the period from 2005 to 2019 by analyzing the conformity with the expected frequency distributions according to Benford's law. The resu…

The Benford's Law Video Analysis project is a Python tool that leverages Benford's Law to differentiate between original and AI-generated videos. The script extracts frames from a video, analyzes the first digits of pixel values in these frames, and creates histograms to visualize digit occurrences.

A java program that tests Benford's Law based on a Data file(assuming you already took the leading digits out of the values). I will leave my data file in the repo for reference.

[📊] Statistical analysis of over one million lines of death toll data released by countries around the globe. We then applied our algorithm and compared it to the curve of Benford's Law to detect under-reporting and false death data.

This program acts as a customer information and sales analysis system. By using the Luhn Algorithm and Benford's law, this program can validate credit card information and determine fraud by reading transaction histories, which can be visualized through the use of JavaFX

Turkish 2019 Elections in a perspective of Benford's Law with using Python

Benford's Law analysis with a Python-based Flask web app.

This repo implements and graphs ben-fords law from csv and json files