PowerLZY / MalConv-PytorchLinks
基于深度学习的恶意软件检测研究；MalConv;
☆108Updated 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:
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- 基于卷积神经网络的恶意软件检测方法☆55Updated 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…☆35Updated 4 years ago
- ☆11Updated 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）☆34Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 3 years ago
- ☆31Updated 3 years ago
- ☆27Updated 6 years ago
- 使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务☆42Updated 4 years ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆218Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated last year
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated last year
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 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…☆52Updated 7 months ago
- A curated list of malware-related papers.☆34Updated last year
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 8 months ago
- 本科毕业设计_恶意代码检测分类平台☆40Updated 6 years ago
- ☆14Updated 6 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
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 7 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
- 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~☆165Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated 11 months ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆60Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆251Updated 3 years ago
- 本科毕业设计，参考LENET-5模型，将恶意软件转化为灰度图，通过卷积神经网络实现了恶意软件检测分类，准确率达98%。☆25Updated 5 years ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 years ago
- ☆20Updated 3 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆169Updated 3 years ago