Actionable Explainable AI for Intrusion Detection Systems (XA4IDS)

This research project aims to develop advanced innovative robust AI methodologies that combine high-quality predictive performance with comprehensive and trustworthy explainability to enable their reliable operationalisation in real-world cybersecurity settings.

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Description

This focus of this research project design, implement, evaluate, and systematically compare AI-based anomaly detection methods for Intrusion Detection Systems (IDS). These methods will be embedded within a reproducible and practically relevant end-to-end pipeline, thereby facilitating their reliable operationalisation in real-world cybersecurity applications.