• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

AI-based Cybersecurity Solution for Industrial Control System


Bu-Seong Jo, Mun-Suk Kim, Journal of Internet Computing and Services, Vol. 23, No. 6, pp. 97-105, Dec. 2022
10.7472/jksii.2022.23.6.97, Full Text:
Keywords: ICS, AI, IDS, Data Collection, Model Evaluation

Abstract

This paper explains trends in security technologies for ICS. Since ICS is usually applied to large-scale national main infrastructures and industry fields, minor errors caused by cyberattack could generate enormous economic cost. ICS has different characteristic with commonly used IT systems, so considering security threats of ICS separately with IT is needed for developing modern security technology. This paper introduce framework for ICS that analyzes recent cyberattack tactics & techniques and find out trends in Intrusion Detection System (IDS) which is representative technology for ICS security, and analyzes AI technologies used for IDS. Specifically, this paper explains data collection and analysis for applying AI techniques, AI models, techniques for evaluating AI Model.


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Cite this article
[APA Style]
Jo, B. & Kim, M. (2022). AI-based Cybersecurity Solution for Industrial Control System. Journal of Internet Computing and Services, 23(6), 97-105. DOI: 10.7472/jksii.2022.23.6.97.

[IEEE Style]
B. Jo and M. Kim, "AI-based Cybersecurity Solution for Industrial Control System," Journal of Internet Computing and Services, vol. 23, no. 6, pp. 97-105, 2022. DOI: 10.7472/jksii.2022.23.6.97.

[ACM Style]
Bu-Seong Jo and Mun-Suk Kim. 2022. AI-based Cybersecurity Solution for Industrial Control System. Journal of Internet Computing and Services, 23, 6, (2022), 97-105. DOI: 10.7472/jksii.2022.23.6.97.