Survey on Cyber Security for Industrial Control Systems
This paper reviews different Industrial Control Systems (ICS) and working mechanisms of Supervisory Control and Data Acquisition (SCADA). To expose the vulnerabilities in the systems, many threat agents are active. Thus, we describe the type of attackers and their motive and different machine learni...
| Main Authors: | Ali, R.F., Muneer, A., Dominic, P.D.D., Ghaleb, E.A.A., Al-Ashmori, A. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29171 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124659482&doi=10.1109%2fICDABI53623.2021.9655902&partnerID=40&md5=a570904e7a6f1645bbf5d0faf8795f6c http://eprints.utp.edu.my/29171/ |
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utp-eprints.291712022-03-25T01:04:12Z Survey on Cyber Security for Industrial Control Systems Ali, R.F. Muneer, A. Dominic, P.D.D. Ghaleb, E.A.A. Al-Ashmori, A. This paper reviews different Industrial Control Systems (ICS) and working mechanisms of Supervisory Control and Data Acquisition (SCADA). To expose the vulnerabilities in the systems, many threat agents are active. Thus, we describe the type of attackers and their motive and different machine learning techniques that may be helpful in detecting those threats that sabotage the whole system. Different machine learning techniques and the suitability of these techniques in different circumstances are described. We gave a critical review of these techniques according to different techniques. Based on these security techniques, we discussed different cybersecurity mechanisms for ICS. We also point out significant challenges that these systems are facing and suggest different precautionary measures that can be taken to nullify these threats. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124659482&doi=10.1109%2fICDABI53623.2021.9655902&partnerID=40&md5=a570904e7a6f1645bbf5d0faf8795f6c Ali, R.F. and Muneer, A. and Dominic, P.D.D. and Ghaleb, E.A.A. and Al-Ashmori, A. (2021) Survey on Cyber Security for Industrial Control Systems. In: UNSPECIFIED. http://eprints.utp.edu.my/29171/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
This paper reviews different Industrial Control Systems (ICS) and working mechanisms of Supervisory Control and Data Acquisition (SCADA). To expose the vulnerabilities in the systems, many threat agents are active. Thus, we describe the type of attackers and their motive and different machine learning techniques that may be helpful in detecting those threats that sabotage the whole system. Different machine learning techniques and the suitability of these techniques in different circumstances are described. We gave a critical review of these techniques according to different techniques. Based on these security techniques, we discussed different cybersecurity mechanisms for ICS. We also point out significant challenges that these systems are facing and suggest different precautionary measures that can be taken to nullify these threats. © 2021 IEEE. |
| format |
Conference or Workshop Item |
| author |
Ali, R.F. Muneer, A. Dominic, P.D.D. Ghaleb, E.A.A. Al-Ashmori, A. |
| spellingShingle |
Ali, R.F. Muneer, A. Dominic, P.D.D. Ghaleb, E.A.A. Al-Ashmori, A. Survey on Cyber Security for Industrial Control Systems |
| author_sort |
Ali, R.F. |
| title |
Survey on Cyber Security for Industrial Control Systems |
| title_short |
Survey on Cyber Security for Industrial Control Systems |
| title_full |
Survey on Cyber Security for Industrial Control Systems |
| title_fullStr |
Survey on Cyber Security for Industrial Control Systems |
| title_full_unstemmed |
Survey on Cyber Security for Industrial Control Systems |
| title_sort |
survey on cyber security for industrial control systems |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2021 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124659482&doi=10.1109%2fICDABI53623.2021.9655902&partnerID=40&md5=a570904e7a6f1645bbf5d0faf8795f6c http://eprints.utp.edu.my/29171/ |
| _version_ |
1741197199715336192 |
| score |
11.62408 |