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Review | Open Access

Intrusion Detection Systems in Industrial Control Systems: Landscape, Challenges and Opportunities

Tong WuDawei ZhouQingyu Ou( )Fang Luo
Department of Information Security, Naval University of Engineering, Wuhan, 430000, China
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Abstract

The increasing interconnection of modern industrial control systems (ICSs) with the Internet has enhanced operational efficiency, but also made these systems more vulnerable to cyberattacks. This heightened exposure has driven a growing need for robust ICS security measures. Among the key defences, intrusion detection technology is critical in identifying threats to ICS networks. This paper provides an overview of the distinctive characteristics of ICS network security, highlighting standard attack methods. It then examines various intrusion detection methods, including those based on misuse detection, anomaly detection, machine learning, and specialised requirements. This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.

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Computers, Materials & Continua
Article number: 4

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Cite this article:
Wu T, Zhou D, Ou Q, et al. Intrusion Detection Systems in Industrial Control Systems: Landscape, Challenges and Opportunities. Computers, Materials & Continua, 2026, 86(3): 4. https://doi.org/10.32604/cmc.2025.073482

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Received: 18 September 2025
Accepted: 13 November 2025
Published: 12 January 2026
© The Author 2025.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.