Journal of Advances in Artificial Life Robotics
Online ISSN : 2435-8061
ISSN-L : 2435-8061
Identifying Industrial Control Systems Anomalies Operation Based on Finite-State Machines
I-Hsien LiuPei-Wen ChouNai-Yu ChenJung-Shian Li
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JOURNAL OPEN ACCESS

2025 Volume 4 Issue 3 Pages 146-149

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Abstract
I During 2021, a facility responsible for treating water in Florida, USA, experienced a cyberattack orchestrated by external malicious entities. These attackers sought to tamper with the levels of certain chemicals in an attempt to compromise the integrity and safety of the water supply. Recognizing the complexity of detecting abnormal operations in Industrial Control Systems (ICS), we sought to leverage the benefits of finite-state machine technology to address this challenge. To evaluate our approach, We performed a series of assessments utilizing the cybersecurity testbed for dam control systems developed by TWISC@NCKU in Taiwan. Research results show that improved detection of irregular operational behaviors, empowering maintenance staff to swiftly pinpoint anomalies.
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© 2025 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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