There are 17 repositories under android-malware-detection topic.
A framework for automated extraction of static and dynamic features from Android applications
Papers, code and datasets about deep learning for Android malware defenses and malware detection
Drebin - NDSS 2014 Re-implementation
extract info from apk files
A list of awesome malware detection tools
Android Malware Samples
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
⚙️ An efficient tool to do in-depth comparison of two android apps.
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
CNN based android malware detection system
A Federated Learning based Android Malware Classification System
Detection of Android Malware based on system calls using Support Vector Machines.
Cybersecurity Data Mining Competition 2016
Cybersecurity Data Mining Competition 2017
Android malware classification using both .java files and .so files
Android Malware Detection Website
Phenax is an open source framework to test Android applications whether they are malicious or not. Using a tool called GroddDroid and machine learning algorithms this framework repeatedly runs a number of goodware and malware applications forcing a different execution path in each application in each run.
Storehouse of scripts/code snippets corresponding to the current RnD project.
Deep Learning Research
Implemented a novel Android malware detection software using natural language processing and deep learning to extract features from the static analysis reports of the applications.
King's College London final dissertation
The general goal of this project is to build a web application based on a machine-learning algorithm that can detect fraudulent apps from the Google Play Store or other store using network features values. Demo video: https://www.loom.com/share/29b3ba0b6e644e7d8616c16f88546388
MAL2 Android-Malware Detection training machine learning detection models and providing API for submitting APK files and getting them analysed
Build ensmbled Android Malware Classifier by using stacking-like method.
Android Malware Detection Web Application
Given a library of smali files from an APK which have been manually renamed after analysis, it can take the same library from a different APK which was decompiled with proguard and by comparing the two libraries will re-name the new smali library files to match the known naming of the original.
A static analysis tool for feature extraction from solid apk files
Android malware classification system
Android applications extraction system - Extract static feature of list android applications