Comparative Analysis of Transformer and LSTM Architectures for Cybersecurity Threat Detection Using Machine Learning

Kaur, Jobanpreet; Prabha, Mani; Samiun, Md; Hasan, Syed Nazmul; Hasan, Rakibul; Esa, Hammed; Bhuiyan, Md Fakhrul Hasan; Rob, Md Abdur; Shahi, Durga

Comparative Analysis of Transformer and LSTM Architectures for Cybersecurity Threat Detection Using Machine Learning

Kaur, Jobanpreet and Prabha, Mani and Samiun, Md and Hasan, Syed Nazmul and Hasan, Rakibul and Esa, Hammed and Bhuiyan, Md Fakhrul Hasan and Rob, Md Abdur and Shahi, Durga (2025) Comparative Analysis of Transformer and LSTM Architectures for Cybersecurity Threat Detection Using Machine Learning. EAI Endorsed Transactions on AI and Robotics.

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Abstract

The growing prevalence of advanced persistent threats (APTs), zero-day exploits, and the rapid proliferation of IoT devices have exposed limitations in traditional cybersecurity approaches. In response, this study presents a comparative analysis of deep learning models—specifically Long Short-Term M

Item Type:	Article
Date Deposited:	04 Mar 2026 20:16
Last Modified:	10 Apr 2026 18:11
URI:	http://eprints.eai.eu/id/eprint/59968

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