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Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
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, detections, and case management. It also includes other tools such as osquery, CyberChef, Elasticsearch, Logstash, Kibana, Suricata, and Zeek.
Real-time HTTP Intrusion Detection
AD Security Intrusion Detection System
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
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
The OWASP SecureTea Project provides a one-stop security solution for various devices (personal computers / servers / IoT devices)
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
Entropy scanner for Linux to detect packed or encrypted binaries related to malware. Finds malicious files and Linux processes and gives output with cryptographic hashes.
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
RequestShield is a 100% Free and OpenSource tool designed to analyze HTTP access.logs and identify suspicious HTTP requests and potential security threats. It uses factors like geolocation, abuse history, request volume, and suspicious request paths to assign a risk score to each IP, providing actionable insights for security monitoring.
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
An Intrusion Detection System based on Deep Belief Networks
Sandfly Security Agentless Compromise and Intrusion Detection System For Linux
OPNSense's Suricata IDS/IPS Detection Rules Against NMAP Scans
Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.
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