https://github.com/vinayakumarr/Network-Intrusion-Detection

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

cybersecurity deep-learning intrusion-detection kdd99 machine-learning network-intrusion-detection network-security nsl-kdd unsw-nb15

Last synced: 30 Mar 2025

https://github.com/teo-sl/dplan_pytorch

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.

anomaly-detection deep-learning machine-learning pytorch reinforcement-learning semi-supervised-learning unsw-nb15

Last synced: 14 Apr 2025

https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15

Last synced: 06 Apr 2025

https://github.com/otuemre/viginids

VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.

classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost

Last synced: 28 Mar 2025