DuckDuckBug / cnn_waf
Web Attacks Detection based on CNN
☆16Updated 6 years ago
Alternatives and similar repositories for cnn_waf:
Users that are interested in cnn_waf are comparing it to the libraries listed below
- 基于机器学习的恶意加密流量监测平台☆130Updated 3 years ago
- 利用强化学习方法 DQN 生成基于机器学习的恶意流量检测模型☆27Updated 3 years ago
- ☆150Updated 2 years ago
- pytorch实现基于web的pcap文件恶意流量检测以及深度学习算法☆78Updated last year
- 使用机器学习的恶意加密流量识别系统☆46Updated last year
- Web Applicaiton Firewall Implementation using Deep Learning☆13Updated 2 years ago
- BUPT SCSS大三小学期 机器学习分析恶意加密流量包项目☆61Updated 4 years ago
- 基于机器学习的DDoS入侵检测算法☆14Updated 3 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。☆100Updated 4 years ago
- 基于机器学习的入侵检测系统☆76Updated 5 years ago
- The project is to detect malware traffic in TLS flows using ML☆35Updated 5 years ago
- 这是一个基于Python的网络入侵检测与防御系 统,提供实时流量分析、攻击检测、自动防御和可视化监控功能。☆12Updated last month
- 主机入侵检测系统(HIDS)☆29Updated 7 years ago
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆21Updated 4 years ago
- 基于机器学习的网络入侵检测系统☆18Updated 8 months ago
- Journal Article: Telematics and Informatics Reports☆11Updated last year
- 机器学习作业,机器学习和深度学习方法实现入侵检测☆38Updated 3 years ago
- 西湖论剑AI大数据安全分析赛 加密恶意流量检测赛道初赛第一名,决赛第二名方案☆21Updated 4 years ago
- UCAS春季学期课程 网络空间安全态势感知 加密流量分类中间结果数据集☆21Updated 3 years ago
- 网络流量领域工具库、公开数据集及加密流量解析方法☆64Updated last year
- web安全机器学习入门☆11Updated 6 years ago
- Machine Learning in Cybersecurity☆82Updated 6 months ago
- Ai与Web安全相关资料的总结库,包括认为写的比较好的一些博客、项目、数据等☆81Updated 2 years ago
- 基于机器学习的web攻击检测系统☆77Updated 11 months ago
- A curation of awesome papers, datasets and tools about network traffic analysis.☆41Updated 5 months ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆210Updated 11 months ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Updated 3 years ago
- 基于神经网络的流量异常检测☆132Updated 4 years ago
- 基于深度学习对dga恶意域名检测研究☆54Updated 2 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%。☆23Updated 4 years ago