kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1Links
☆27Updated 6 years ago
Alternatives and similar repositories for Datacon2019-Malicious-Code-DataSet-Stage1
Users that are interested in Datacon2019-Malicious-Code-DataSet-Stage1 are comparing it to the libraries listed below
Sorting:
- ☆14Updated 6 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆117Updated 3 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 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…☆38Updated 4 years ago
- DataCon大数据安全分析大赛,2019年方向二(恶意代码检测)冠军源码、2020年方向五(恶意代码分析)季军源码☆110Updated 4 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆34Updated last year
- ☆32Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆176Updated 3 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)☆35Updated 4 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Updated 3 years ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆220Updated last year
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆42Updated 5 years ago
- ☆16Updated 4 years ago
- Datasets used in the StreamSpot experiments☆66Updated 9 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆38Updated 3 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- ☆102Updated 5 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption☆39Updated 5 years ago
- 该资源是各种溯源图相关的论文和资源总结(含PPT),涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域,希望对大家有所帮助~☆167Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago
- ☆85Updated 11 months ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆19Updated 7 years ago
- APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning☆78Updated 3 years ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 years ago
- ☆123Updated 2 years ago
- ☆14Updated 4 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 4 years ago
- 基于溯源图的入侵/威胁检测相关论文及阅读笔记☆30Updated 2 years ago