网络入侵检测KDDCup“99”、NSL-KDD和UNSW-NB 15
nsl-kdd 开源项目推荐(161 个)
nsl-kdd 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 161 个仓库Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
NSLKDD Dataset for WEKA
This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.
Cyber-attack classification in the network traffic database using NSL-KDD dataset
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.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
IDS based on Machine Learning technical
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
Anomaly IDS using a one-class autoencoder.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
The design and implementation of an advanced BiLSTM-based model integrated with an attention mechanism for network intrusion detection using the NSL-KDD dataset.
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/nsl-kdd。
- 该话题在 GitHub 上共有 161 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 1873 Star,覆盖 4 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。