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Author

K. Murugesan

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Review Open access Oct 2026

Self-Supervised One-Class Tabular Deep Learning for Intrusion Detection in Artificial Intelligence of Things Systems

The emergence of the artificial intelligence of things (AIoT) has led to increasingly sophisticated cyberattacks. For many of these threats, labeled training data are scarce or unavailable, which increases the need for label-free intrusion detection systems. To address this issue, this study proposes a self-supervised...

Thavavel Vaiyapuri, K. Murugesan, Y. Bouteraa · 0 citations
Open access 2026

Agentic intelligence-driven visual analytics with human-in-the-loop for zero-day attack detection towards a secure future economy

Zero-day and emerging cyber threats are difficult to detect in digital infrastructure due to evolving attack patterns, class imbalances, and the limited interpretability of traditional intrusion detection systems (IDSs). As such, the primary objective of this research is to develop an agentic intelligence-driven visual...

May Altulyan, K. Murugesan, Thavavel Vaiyapuri · 1 citation

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