Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

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

Feature coded UNSW_NB15 intrusion detection data.

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.

Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.

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)

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

Hybrid WCGAN-ACGAN framework for balanced network intrusion detection on NSL-KDD and UNSW-NB15 datasets using XGBoost, Decision Trees, CNN, and AutoGluon classifiers

Scripts for generating SHAP & LIME explainations and their corresponding plots