There are 64 repositories under intrusion-detection topic.
OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.
Security Onion 16.04 - Linux distro for threat hunting, enterprise security monitoring, and log management
[archived] 一款实验性质的主机入侵检测系统
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Digital Forensics Guide. Learn all about Digital Forensics, Computer Forensics, Mobile device Forensics, Network Forensics, and Database Forensics.
Database security suite. Database proxy with field-level encryption, search through encrypted data, SQL injections prevention, intrusion detection, honeypots. Supports client-side and proxy-side ("transparent") encryption. SQL, NoSQL.
Open Source Security Guide. Learn all about Security Standards (FIPS, CIS, FedRAMP, FISMA, etc.), Frameworks, Threat Models, Encryption, and Benchmarks.
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
By Kprobe technology Open Source Host-based Intrusion Detection System(HIDS), from E_Bwill.
Monitor Network Traffic Per Executable, Beautifully Visualized
Wazuh - Docker containers
Wazuh - Ruleset
Plugins for Wazuh Dashboard
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Scan the devices connected to your WIFI / LAN and alert you the connection of unknown devices. It also warns if a "always connected" device disconnects. In addition, it is possible to check web services for availability. For this purpose HTTP status codes and the response time of the service are evaluated.
idstools: Snort and Suricata Rule and Event Utilities in Python (Including a Rule Update Tool)
osquery extensions by Trail of Bits
Wazuh - Ansible playbook
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Wazuh - Project documentation
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.