Computational Study of Security Risk Evaluation in Energy Management and Control Systems Based on a Fuzzy MCDM Method

Numerous cyberattacks on connected control systems are being reported every day. Such subject to hostile external attacks due their communication system. Network security is vital because it protects sensitive information from cyber threats and preserves network operations trustworthiness. Multiple safety solutions implemented in strong reliable plans safeguard users companies spyware attacks, such as distributed denial of service attacks. A crucial component that must be conducted prior any implementation a analysis. Because cyberattack encounters power networks currently limited, comprehensive evaluation approach for technology required. According previous studies, the challenges include process assessment well level phase. To address issues, fuzzy technique order preference by similarity ideal solution (TOPSIS) based multiple criteria decision-making (MCDM) presented risk energy management (EMCS). The methodology focuses quantifying extent each step; value vulnerability variables derived protection analysis model, an MCDM strategy incorporated TOPSIS presented. Ultimately, example six system modelled conduct evaluation. outcome validates utility