用于测试 NIDS 检测的网站和框架
nids 开源项目推荐(259 个)
nids 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 259 个仓库A PyTorch implementation of of E-GraphSAGE.
GO开发而成,用于NIDS HIDS 分析的规则引擎,使用WorkerPool 高性能检测,支持多字段 "和" "或" 检测, 支持频率检测
Yara powered NIDS with high speed packet capture powered by PF_RING
Sensor software
tshark + ELK analytics virtual machine
用于测试 NIDS 检测的网站和框架
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
A real-time, terminal-based network traffic analyzer built with Python, Scapy, and Rich. Captures live packets using multi-threading to display real-time protocol breakdowns and top active IP addresses in a dynamic CLI dashboard.
这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
A PyTorch implementation of of Anomal-E.
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
Easily Expandable Wireless Intrusion Detection System
En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
Scripts to deploy virtual testbed for log data analysis and anomaly detection.
A method for grouping, clustering, and merging semi-structured alerts
该项目在 GitHub 上没有填写描述
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows.
suricata-check is a command line utility to provide feedback on Suricata rules. The tool can detect various issues including those covering syntax validity, interpretability, rule specificity, rule coverage, and efficiency.
Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/nids。
- 该话题在 GitHub 上共有 259 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1233 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。