Anomaly Detection through Behavior Analysis: A Deep Learning Approach for Identifying Unusual User Activities

Bolukonda, Deepthi; Mishra, Rupesh Kumar; Gupta, Indrajeet

Anomaly Detection through Behavior Analysis: A Deep Learning Approach for Identifying Unusual User Activities

Bolukonda, Deepthi and Mishra, Rupesh Kumar and Gupta, Indrajeet (2025) Anomaly Detection through Behavior Analysis: A Deep Learning Approach for Identifying Unusual User Activities. 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 I.

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Abstract

In the potential high-risk and threat cataloguing world of increasing cyber sophistication and behaviour, user activity anomaly detection is one tool from the protection arsenal to call upon. In this paper, we propose a multi-stage anomaly detection pipeline, which integrates unsupervised learning t

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 20:17
Last Modified:	16 Apr 2026 16:00
URI:	http://eprints.eai.eu/id/eprint/60029

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