Storehouse of scripts/code snippets corresponding to the current RnD project.
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Updated
Apr 18, 2014 - Python
Storehouse of scripts/code snippets corresponding to the current RnD project.
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.
Drebin - NDSS 2014 Re-implementation
Deep Learning Research
A static analysis tool for feature extraction from solid apk files
Cybersecurity Data Mining Competition 2017
Cybersecurity Data Mining Competition 2016
Android malware classification using both .java files and .so files
Android malware detection using static and dynamic analysis
CNN based android malware detection system
Android Malware Detection using Deep Learning
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.
Build ensmbled Android Malware Classifier by using stacking-like method.
King's College London final dissertation
Detection of Android Malware based on system calls using Support Vector Machines.
⚙️ An efficient tool to do in-depth comparison of two android apps.
Android Malware Samples
A Kotlin Android library for forensics evasion & heuristics evasion that prevents your code from being tested.
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
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