PowerLZY / malware_classification_bdci
2021 CCF BDCI 数字安全公开赛“基于人工智能的恶意软件家族分类”赛题第二名Petrichor战队解决方案
☆19Updated 2 years ago
Related projects: ⓘ
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆39Updated 3 years ago
- ☆11Updated 5 years ago
- Datawhale&科大讯飞2021A.I.开发者大赛恶意软件分类CV/NLP/表格三个方向的建模思路+伪标签LGB(rank11)☆11Updated 3 years ago
- ☆19Updated 5 years ago
- 基于深度学习的恶意代码检测☆11Updated 4 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%。☆19Updated 4 years ago
- A malware family classification model based on CNN☆23Updated last year
- 利用机器学习检测恶意代码☆20Updated 8 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…☆30Updated 3 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆73Updated 2 years ago
- ☆11Updated 2 years ago
- 阿里云安全恶意程序检测比赛☆113Updated 3 years ago
- 基于卷积神经网络的恶意软件检测方法☆45Updated 5 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- a demo for detecting anomaly url☆38Updated 7 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☆102Updated 3 years ago
- network security named entity recognition, Chinese☆11Updated 5 years ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 years ago
- DataCon2020大数据安全分析大赛,🏆【方向五】恶意代码分析冠军源码。☆108Updated 3 years ago
- ☆24Updated 2 years ago
- ☆27Updated 3 years ago
- 天池新手赛 - 阿里云安全恶意程序检测☆9Updated 4 years ago
- ☆24Updated this week
- 基于卷积神经网络的恶意代码分类系统☆13Updated 4 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~☆12Updated 4 years ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆190Updated 4 months ago
- 利用知识图谱分析网络安全事件☆38Updated 4 years ago
- 本科毕业设计_恶意代码检测分类平台☆33Updated 5 years ago
- 机器学习检测恶意URL改进版☆22Updated 4 years ago