Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
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Updated
May 8, 2019 - Python
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.
Basic Machine learning projects and assignments done by me.
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
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.
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
💻 Network System Intrusion Detection using Graph Neural Networks
Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.
Multi-class SVM based network intrusion detection system with attribute selection using random forest on the UNSW-NB15 dataset
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