Pinned Repositories
A-Multimodal-Deep-Learning-Method-for-Android-Malware-Detection
Source code for Android malware analysis
AASC-Android-Application-Signature-Creation-Through-Graphs
active-learning
Continuous Learning for Android Malware Detection (USENIX Security 2023)
AMDs
A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
android-detectors
End-to-end implementation of ML-based Android malware detectors.
android-malware-classification
Android-Malware-Data-Augmentation-Using-WGAN
android-malware-detection
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
Android_Malware_Analysis
This project provides an analysis of Android malware using static features. We leverage Jupyter Notebook to perform static analysis on Android permissions and APK files, extracting relevant features and providing insights into potential malicious behavior.
Android_Malware_Detection_Method_Based_on_Graph_Attention_Networks
S0urc-3's Repositories
S0urc-3/MalScan
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis
S0urc-3/DroidEvolver
S0urc-3/v2ray
最好用的 V2Ray 一键安装脚本 & 管理脚本
S0urc-3/euphony
Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware
S0urc-3/SMALI_CFG_TO_JSON
Fork of MARA FRAMEWORK Smali-CFGs
S0urc-3/DroidAPIMiner
Mining API-Level Features for Robust Malware Detection in Android
S0urc-3/Deep-Android-Malware-Detection
Code for Deep Android Malware Detection paper
S0urc-3/A-Multimodal-Deep-Learning-Method-for-Android-Malware-Detection
Source code for Android malware analysis
S0urc-3/DNN-based-software-defect-prediction
experimental data and code
S0urc-3/maldrolyzer
Simple framework to extract "actionable" data from Android malware (C&Cs, phone numbers etc.)
S0urc-3/Smali-CFGs
Smali Control Flow Graph's
S0urc-3/jrsync
rsync algorithm implemented int Java.