网络入侵检测KDDCup“99”、NSL-KDD和UNSW-NB 15
unsw-nb15 开源项目推荐(87 个)
unsw-nb15 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 87 个仓库Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
特征编码UNSW_NB15入侵检测数据。
这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
Basic Machine learning projects and assignments done by me.
使用Flower框架和UNSW_NB15数据集的入侵检测系统联邦学习。
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
💻 Network System Intrusion Detection using Graph Neural Networks
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
Hybrid WCGAN-ACGAN framework for balanced network intrusion detection on NSL-KDD and UNSW-NB15 datasets using XGBoost, Decision Trees, CNN, and AutoGluon classifiers
Multi-class SVM based network intrusion detection system with attribute selection using random forest on the UNSW-NB15 dataset
A Python program that uses Neural Networks to detect unusual traffic using UNSW-NB15
Code used for paper AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
AI-powered Intrusion Detection System; binary + multi-class network threat classification using Random Forest on UNSW-NB15 dataset, with TShark + NFStream PCAP support.
Étude comparative de la robustesse des systèmes de détection d'intrusion (NIDS) face aux attaques adversariales (Deep Learning & Machine Learning).
Reproducible ML-based network intrusion detection pipeline using CICIDS2017 and UNSW-NB15 datasets.
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/unsw-nb15。
- 该话题在 GitHub 上共有 87 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 1541 Star,覆盖 2 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。