Security Onion is a free and open platform for threat hunting, enterprise security monitoring, and log management. It includes our own interfaces for alerting, dashboards, hunting, PCAP, and case management. It also includes other tools such as Playbook, osquery, CyberChef, Elasticsearch, Logstash, Kibana, Suricata, and Zeek.

This project uses XGBoost for intrusion detection in cloud computing, achieving 99.17% accuracy on the KDDcup99 dataset. Leveraging AWS services like Amazon S3 and SageMaker, we ensure robust security and efficiency in handling large datasets.

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.

wolfSSL Intrusion Detection and Prevention System (IDPS)

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

NetFortress is an Intrusion Detection System (IDS), advanced network security solution designed to safeguard your network infrastructure.

"PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks" ACM ASIACCS 2021

Open-source Intrusion Detection System (IDS) designed to monitor and detect security threats on Windows, Linux, and macOS systems. The IDS includes both Host-based Intrusion Detection (HIDS) and Network-based Intrusion Detection (NIDS) components, providing comprehensive coverage for detecting and mitigating various types of cyber threats.

Network Intrusion Detection System

OPNSense's Suricata IDS/IPS Detection Rules Against NMAP Scans

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

An Intrusion Detection System leveraging Python and machine learning techniques, specifically KNN and Decision Trees, effectively identifying and mitigating security threats in real-time network environments.

Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks"

On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

Robocop is a prototype Ensemble model-powered Intrusion Detection System for IoT devices with automated incident triage and containment.

A simple intrusion detection/prevention system framework written in PHP.

🕵️‍♂️ ML project to identify malicious web payloads, aimed at boosting the effectiveness of WAFs and IDSs.

This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is designed for detecting network intrusions using network data traffic.

ES Project - The objective of this project was to create an intrusion detection system that identifies intruders from CCTV cameras and alerts its owners of the intrusion. The entire system was deployed using AWS.