Android Malware Detection Website
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Updated
May 18, 2024 - Python
Android Malware Detection Website
Android malware classification system
Android applications extraction system - Extract static feature of list android applications
Android Mobile Device Hardening
Dissertation
A framework for automated extraction of static and dynamic features from Android applications
⚙️ An efficient tool to do in-depth comparison of two android apps.
King's College London final dissertation
Build ensmbled Android Malware Classifier by using stacking-like method.
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.
Android Malware Detection using Deep Learning
Android malware detection using static and dynamic analysis
Android malware classification using both .java files and .so files
Cybersecurity Data Mining Competition 2016
Cybersecurity Data Mining Competition 2017
Deep Learning Research
Drebin - NDSS 2014 Re-implementation
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.
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