A framework for automated extraction of static and dynamic features from Android applications
-
Updated
Dec 7, 2022 - Python
A framework for automated extraction of static and dynamic features from Android applications
Android Mobile Device Hardening
Papers, code and datasets about deep learning for Android malware defenses and malware detection
Drebin - NDSS 2014 Re-implementation
Android Malware Samples
A list of awesome malware detection tools
extract info from apk files
Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)
Android Malware Detection using Deep Learning
A Kotlin Android library for forensics evasion & heuristics evasion that prevents your code from being tested.
Android malware detection using static and dynamic analysis
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
⚙️ An efficient tool to do in-depth comparison of two android apps.
CNN based android malware detection system
A Federated Learning based Android Malware Classification System
Structural Attack against Graph-based Android Malware Detection System
Detection of Android Malware based on system calls using Support Vector Machines.
Android malware classification using both .java files and .so files
Cybersecurity Data Mining Competition 2016
Add a description, image, and links to the android-malware-detection topic page so that developers can more easily learn about it.
To associate your repository with the android-malware-detection topic, visit your repo's landing page and select "manage topics."