Neutrosophic MCDM Methodology for Assessment Risks of Cyber Security in Power Management

Ahmed M.AbdelMouty, Ahmed Abdel-Monem
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引用次数: 1

Abstract

Every day, new reports of cyberattacks on interconnected control systems emerge. The vulnerability of their communication mechanism makes similar control systems a target for malicious outsiders. Protecting sensitive data and maintaining network reliability and availability are two of the main reasons why network security is so important. Strong and dependable network security strategies use a number of safeguards to protect users and businesses from malware and cyber assaults like distributed denial of service. A safety analysis is an essential step that must precede the introduction of any security measures. There hasn't been much experience with cyberattacks on power control systems yet, therefore it's important to develop a method for thoroughly assessing the safety of power control technologies used in data transmission systems. A prior study has identified the authority control process evaluation of security and the safety level of each control stage as two of the primary obstacles to effective security assessment. For this reason, this article provides a safety risk evaluation of the communication networks of power management and control technologies (PMCT) using the neutrosophic Evaluation Based on Distance from Average Solution (EDAS) method. A prime instance of a multi-criteria decision-making (MCDM) issue is used to solve the security risk assessment in the power system. In this study, we offer an interval-valued neutrosophic version of the EDAS approach for solving the MCDM issue. The neutrosophic EDAS method is used to rank and assess the security risks in power system.
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电源管理中网络安全风险评估的中性MCDM方法
每天都有针对互联控制系统的网络攻击的新报告出现。其通信机制的脆弱性使类似的控制系统成为恶意外人的目标。保护敏感数据和维护网络可靠性和可用性是网络安全如此重要的两个主要原因。强大而可靠的网络安全策略使用了许多保护措施来保护用户和企业免受恶意软件和网络攻击,如分布式拒绝服务。在引入任何安全措施之前,安全分析是必不可少的步骤。目前,针对电力控制系统的网络攻击还没有太多的经验,因此,开发一种方法来彻底评估数据传输系统中使用的电力控制技术的安全性非常重要。先前的研究已经确定了安全的权限控制过程评估和每个控制阶段的安全水平是有效安全评估的两个主要障碍。为此,本文采用基于平均解距离的中性评价方法对电源管理与控制技术(PMCT)通信网络进行安全风险评价。以多准则决策(MCDM)问题为例,研究了电力系统安全风险评估问题。在这项研究中,我们提供了一种区间值中性粒细胞版本的EDAS方法来解决MCDM问题。采用中性EDAS法对电力系统安全风险进行排序和评估。
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