Automated Context-Aware Intrusion Detection and Prevention System (IDPS) for Web Servers — my Final Year Project, built with Mohammad Danish Hakim bin Mohd Nasir.
The idea
Most detection systems decide whether a request is malicious by looking at the request. This project adds context — what else is happening around that request — so prevention decisions are based on more than a signature match in isolation.
What FYP 1 covered
The first phase was mostly research: a literature review of how current industry detection and prevention systems actually work, and a study of real-world attack patterns against web servers.
Danish and I picked this deliberately to stretch ourselves. We had both done CTFs and built things before, but reading how production IDS/IPS deployments handle detection, tuning and false positives made it clear how much of this field we had only seen from the attacker’s side.
Outcome
Silver Award at the FYP 1 project evaluation, 3–4 June 2026.
FYP 2 continues the build.

