PowerLZY / MalConv-PytorchLinks
基于深度学习的恶意软件检测研究;MalConv;
☆115Updated 3 years ago
Alternatives and similar repositories for MalConv-Pytorch
Users that are interested in MalConv-Pytorch are comparing it to the libraries listed below
Sorting:
- 基于卷积神经网络的恶意软件检测方法☆58Updated 6 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…☆37Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 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 4 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- ☆32Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆74Updated 3 years ago
- ☆11Updated 4 years ago
- ☆27Updated 6 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 10 months ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆219Updated last year
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆19Updated 7 years ago
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆42Updated 5 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆254Updated 4 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- 该资源为恶意代码检测相关的论文或文章总结,包括作者撰写的恶意代码与机器学习、深度学习相关博客,希望对您有所帮助~☆15Updated 5 years ago
- ☆14Updated 6 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆53Updated 9 months ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated last year
- 本科毕业设计_恶意代码检测分类平台☆41Updated 6 years ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 years ago
- A curated list of malware-related papers.☆34Updated last year
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆62Updated last year
- ☆20Updated 3 years ago
- Malware Classification using Machine learning☆75Updated last year
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated last year
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- 基于机器学习的恶意代码检测☆12Updated 6 years ago
- 这是作者恶意代码分析、网络安全、系统安全等系列教程,主要是通过机器学习、人工智能和深度学习来分析恶意代码的在线笔记。希望对您有所帮助,学无止境,一起加油。☆103Updated 5 years ago