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Dimensional reduction with fast ICA for IoT botnet detection.

Susanto, Susanto and Stiawan, Deris and Rini, Dian Palupi and Arifin, M. Agus Syamsul and Idris, Mohd. Yazid and Alsharif, Nizar and Budiarto, Rahmat (2023) Dimensional reduction with fast ICA for IoT botnet detection. Journal of Applied Security Research, 18 (4). pp. 665-688. ISSN 1936-1610

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Official URL: https://www.tandfonline.com/doi/full/10.1080/19361...

Abstract

The Internet of Things (IoT) has unique characteristics with a minimalist design and has network access with great scalability, which makes it difficult to control access. Setting up an intrusion detection system (IDS) on an IoT system while taking into account its unique characteristics is a big challenge. In this paper, we propose a dimensional reduction approach utilizing the fast independent component analysis (ICA) method to address scalability issues of IDS for IoT systems. Experimental results show that the reduction of dimensions by the fast ICA method overall improves the IDS execution time and does not significantly affect accuracy.

Item Type:Article
Uncontrolled Keywords:dimensional reduction; fast ICA; IDS; IoT botnet; scalability.
Subjects:T Technology > T Technology (General)
T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:Computer Science and Information System
ID Code:106278
Deposited By: Muhamad Idham Sulong
Deposited On:29 Jun 2024 05:15
Last Modified:29 Jun 2024 05:15

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