RingBDStack / HAWKLinks
☆16Updated 3 years ago
Alternatives and similar repositories for HAWK
Users that are interested in HAWK are comparing it to the libraries listed below
Sorting:
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆61Updated last year
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆40Updated 4 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 years ago
- ☆13Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 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☆55Updated 2 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆37Updated 3 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Updated 5 years ago
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构…☆36Updated 4 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Updated 3 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Updated 4 years ago
- ☆42Updated 4 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆74Updated 3 years ago
- Drebin - NDSS 2014 Re-implementation☆106Updated 8 years ago
- ☆20Updated 3 years ago
- ☆23Updated 5 years ago
- A Static Sensitive Subgraph-based Feature for Android Malware Detection☆11Updated 4 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆34Updated 3 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- A curated list of malware-related papers.☆34Updated last year
- 基于深度学习的恶意软件检测研究;MalConv;☆113Updated 3 years ago
- A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments☆13Updated last year
- ☆59Updated 7 years ago
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- 🤖Android malware detection using deep learning, contains android malware samples, papers, tools etc.🐛☆179Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 4 years ago