TY - GEN
T1 - A Case Study of Network-Based Intrusion Detection System Deployment in Industrial Control Systems with Network Isolation
AU - Chen, Nai Yu
AU - Chou, Pei Wen
AU - Li, Jung Shian
AU - Liu, I. Hsien
N1 - Publisher Copyright:
© The 2024 International Conference on Artificial Life and Robotics (ICAROB2024)
PY - 2024
Y1 - 2024
N2 - Deploying intrusion detection systems is a common cybersecurity measure, and intrusion detection systems typically operate at the ports of gateways. In critical infrastructure, industrial control systems often employ network isolation strategies, lacking the role of gateways. This research primarily explores the deployment of the Snort intrusion detection system in such an environment, combined with specific OT rules. Validation is conducted using the cybersecurity testbed of the dam control system established by TWISC@NCKU in Taiwan. The results indicate that by employing our proposed approach, it is possible to effectively detect abnormal network traffic, addressing the common issue of inadequate monitoring in environments with network isolation.
AB - Deploying intrusion detection systems is a common cybersecurity measure, and intrusion detection systems typically operate at the ports of gateways. In critical infrastructure, industrial control systems often employ network isolation strategies, lacking the role of gateways. This research primarily explores the deployment of the Snort intrusion detection system in such an environment, combined with specific OT rules. Validation is conducted using the cybersecurity testbed of the dam control system established by TWISC@NCKU in Taiwan. The results indicate that by employing our proposed approach, it is possible to effectively detect abnormal network traffic, addressing the common issue of inadequate monitoring in environments with network isolation.
UR - http://www.scopus.com/inward/record.url?scp=85190277363&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190277363&partnerID=8YFLogxK
U2 - 10.5954/icarob.2024.os1-5
DO - 10.5954/icarob.2024.os1-5
M3 - Conference contribution
AN - SCOPUS:85190277363
SN - 9784991333705
T3 - Proceedings of International Conference on Artificial Life and Robotics
SP - 30
EP - 33
BT - Proceedings of The 2024 International Conference on Artificial Life and Robotics, ICAROB 2024
A2 - Jia, Yingmin
A2 - Ito, Takao
A2 - Lee, Ju-Jang
PB - ALife Robotics Corporation Ltd
T2 - 29th International Conference on Artificial Life and Robotics, ICAROB 2024
Y2 - 22 February 2024 through 25 February 2024
ER -