IDS for Zero-Day Attack Detection

This project aims to develop an advanced Intrusion Detection System (IDS) capable of identifying zero-day attacks—unknown and uncatalogued threats. Using machine learning and behavioral analysis techniques, the IDS monitors network traffic in real-time to detect anomalies and suspicious patterns. This approach enhances the security of IT infrastructures by anticipating attacker strategies. The system is designed to be scalable and easily integrable into enterprise environments.

Technologies used: