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 in | Journal of Robotics, Networking and Artificial Life Vol. 11; no. 1; pp. 1 - 5 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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. |
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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 |
Author_xml | – sequence: 1 fullname: Liu, I-Hsien organization: National Cheng Kung University – sequence: 2 fullname: Chen, Nai-Yu organization: National Cheng Kung University – sequence: 3 fullname: Chou, Pei-Wen organization: National Cheng Kung University – sequence: 4 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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