Faculty Publish AI-based Intrusion Detection System for Secure Networks

The Department of Computer Applications releases a peer-reviewed paper on adaptive intrusion detection for campus-scale networks.

The paper, authored by faculty of the Department of Computer Applications, proposes a lightweight AI model for real-time intrusion detection in university networks. The work has been accepted at an IEEE-indexed conference and will inform the campus cybersecurity roadmap.