AIHardMon: An AI-Driven Hardware Monitoring System for Anomaly Detection and Performance Analysis

Harsha, K. Sri and Reddy, K Vishweshwar and Ranga, P. Sai and Malarvizhi, N. (2025) AIHardMon: An AI-Driven Hardware Monitoring System for Anomaly Detection and Performance Analysis. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

Conventional hardware monitoring systems frequently suffer from false alarm rate (FAR) issues and lack prediction and contextual information. In this paper, we present AIHardMon, an AI-based hardware monitoring technique aiming to resolve these drawbacks. By utilizing machine learning methods such a

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:19
Last Modified: 16 Apr 2026 15:54
URI: http://eprints.eai.eu/id/eprint/60169

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