IDS is a lightweight intrusion detection system written in Python that monitors network traffic in real time to identify and block suspicious activity on small networks.
The tool addresses the need for accessible network security monitoring by capturing incoming packets and analyzing them within a sliding window to detect anomalies. It dynamically adjusts detection thresholds based on observed traffic patterns, then cross-references flagged IP addresses against reputation databases before blocking them. The system specifically protects against SYN scans, TCP floods, UDP floods, and ICMP floods, logging all triggered events for audit purposes.
Adoption suits small networks running on Linux where administrators need straightforward anomaly detection without complex configuration. The tool requires Python 3.13, Linux, and sufficient privileges for network monitoring and firewall management. A menu-driven interface allows operators to adjust detection parameters, start or stop the service, and manage autostart behavior without command-line expertise. All detected anomalies are logged to a dedicated file for review.
The project shows active maintenance with recent commits addressing core functionality. Development demonstrates responsiveness to practical deployment needs, as evidenced by the inclusion of a user-friendly configuration menu and reputation-checking integration before blocking decisions. The codebase reflects attention to operational concerns like persistent logging and service lifecycle management.
