The Intrusion Detection Solution for Isolated Industrial Control Environments

This study explores the implementation of intrusion detection solutions, specifically Snort, in industrial control environments that use network segregation as a security measure. Unlike traditional deployments at gateway ports, our research integrates Snort directly within isolated networks, custom...

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Published inJournal of Robotics, Networking and Artificial Life Vol. 11; no. 1; pp. 1 - 5
Main Authors Liu, I-Hsien, Chen, Nai-Yu, Chou, Pei-Wen, Li, Jung-Shian
Format Journal Article
LanguageEnglish
Published ALife Robotics Corporation Ltd 2025
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Abstract This study explores the implementation of intrusion detection solutions, specifically Snort, in industrial control environments that use network segregation as a security measure. Unlike traditional deployments at gateway ports, our research integrates Snort directly within isolated networks, customized with specific operational technology (OT) rules. The effectiveness of this system was tested using the TWISC@NCKU Critical Infrastructure cybersecurity testbed in Taiwan. This findings indicate that this strategic approach can successfully detect anomalies in network traffic, effectively addressing the common challenge of limited monitoring in segregated network environments.
AbstractList This study explores the implementation of intrusion detection solutions, specifically Snort, in industrial control environments that use network segregation as a security measure. Unlike traditional deployments at gateway ports, our research integrates Snort directly within isolated networks, customized with specific operational technology (OT) rules. The effectiveness of this system was tested using the TWISC@NCKU Critical Infrastructure cybersecurity testbed in Taiwan. This findings indicate that this strategic approach can successfully detect anomalies in network traffic, effectively addressing the common challenge of limited monitoring in segregated network environments.
Author Chen, Nai-Yu
Chou, Pei-Wen
Li, Jung-Shian
Liu, I-Hsien
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  organization: National Cheng Kung University
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  fullname: Li, Jung-Shian
  organization: National Cheng Kung University
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Snippet This study explores the implementation of intrusion detection solutions, specifically Snort, in industrial control environments that use network segregation as...
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SubjectTerms Cybersecurity Testbed
Industrial Control System
Network-Based Monitoring
Title The Intrusion Detection Solution for Isolated Industrial Control Environments
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