LAPSE:2023.35939
Published Article
LAPSE:2023.35939
Computational Study of Security Risk Evaluation in Energy Management and Control Systems Based on a Fuzzy MCDM Method
June 7, 2023
Numerous cyberattacks on connected control systems are being reported every day. Such control systems are subject to hostile external attacks due to their communication system. Network security is vital because it protects sensitive information from cyber threats and preserves network operations and trustworthiness. Multiple safety solutions are implemented in strong and reliable network security plans to safeguard users and companies from spyware and cyber attacks, such as distributed denial of service attacks. A crucial component that must be conducted prior to any security implementation is a security analysis. Because cyberattack encounters in power control networks are currently limited, a comprehensive security evaluation approach for power control technology in communication networks is required. According to previous studies, the challenges of security evaluation include a power control process security assessment as well as the security level of every control phase. To address such issues, the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) based on multiple criteria decision-making (MCDM) is presented for a security risk assessment of the communication networks of energy management and control systems (EMCS). The methodology focuses on quantifying the security extent in each control step; in order to value the security vulnerability variables derived by the protection analysis model, an MCDM strategy incorporated as a TOPSIS is presented. Ultimately, the example of six communication networks of a power management system is modelled to conduct the security evaluation. The outcome validates the utility of the security evaluation.
Keywords
communication network, multiple criteria decision-making, power control system, security evaluation, security risk
Suggested Citation
Alhakami W. Computational Study of Security Risk Evaluation in Energy Management and Control Systems Based on a Fuzzy MCDM Method. (2023). LAPSE:2023.35939
Author Affiliations
Alhakami W: Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Journal Name
Processes
Volume
11
Issue
5
First Page
1366
Year
2023
Publication Date
2023-04-29
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11051366, Publication Type: Journal Article
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LAPSE:2023.35939
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doi:10.3390/pr11051366
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Jun 7, 2023
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CC BY 4.0
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[v1] (Original Submission)
Jun 7, 2023
 
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Jun 7, 2023
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https://psecommunity.org/LAPSE:2023.35939
 
Original Submitter
Calvin Tsay
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