E0HYL / MsDroid
An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection" (TDSC 2022)
☆52Updated 10 months ago
Alternatives and similar repositories for MsDroid:
Users that are interested in MsDroid are comparing it to the libraries listed below
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆80Updated 2 years ago
- 从Androzoo下载数据集,区分年份以及良性/恶意应用,支持协程、代理、断点继续、错误重试等☆44Updated last year
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆27Updated 2 years ago
- ☆34Updated 3 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Updated 3 years ago
- A curated list of malware-related papers.☆23Updated 10 months ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆36Updated 3 years ago
- A unified framework for AI-enhanced code analysis.☆9Updated last year
- ☆21Updated 4 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆35Updated 2 years ago
- revised☆21Updated 4 years ago
- A Static Sensitive Subgraph-based Feature for Android Malware Detection☆11Updated 3 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆135Updated last year
- the instructions about request access to AdvDroidZero☆10Updated 9 months ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆41Updated 4 years ago
- ☆16Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 2 years ago
- ☆15Updated 3 years ago
- Drebin - NDSS 2014 Re-implementation☆105Updated 7 years ago
- ☆10Updated last year
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆61Updated last year
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- ☆17Updated 2 years ago
- ☆18Updated last year
- Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware☆46Updated 5 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments☆11Updated 9 months ago
- ☆12Updated 2 years ago
- ☆21Updated last year