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首页> 外文会议>2019 10th International Conference on Dependable Systems, Services and Technologies >Multilevel Fuzzy Logic-Based Approach for Critical Energy Infrastructure’s Cyber Resilience Assessment
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Multilevel Fuzzy Logic-Based Approach for Critical Energy Infrastructure’s Cyber Resilience Assessment

机译：基于多级模糊逻辑的关键能源基础设施网络弹性评估方法

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This paper presents approach for critical energy infrastructure's (CEI) cyber resilience assessment. The CEI is the vital physical system of systems, whose accidents and failures lead to damage of economy, environment, impact on health and lives of people. The analysis of cyber incidents with Ukrainian CEI confirms the importance of the task of increasing its cyber resilience to external hostile influences and keeping of the appropriate level of functionality, safety and reliability. This paper is devoted to development of approach for CEI's cyber resilience assessment considering the important capacities of its systems (adaptivity, restoration, absorbability, preventive) and interdependencies between them. This approach is based on application of multilevel fuzzy logic models (called as logic-linguistic models, LLM) taking into consideration the data available from expert's knowledge. The comparison between risk management and resilience assurance is performed. The new risk-oriented definition of resiliency is suggested.
机译：本文介绍了关键能源基础设施（CEI）网络弹性评估的方法。 CEI是系统的重要物理系统，其事故和故障会导致经济，环境破坏，对人类健康和生活的影响。乌克兰CEI对网络事件的分析证实了提高网络对外部敌对影响的适应能力以及保持适当水平的功能，安全性和可靠性这一任务的重要性。考虑到CEI系统的重要功能（适应性，恢复性，吸收性，预防性）以及它们之间的相互依赖性，本文致力于CEI网络弹性评估方法的开发。该方法基于多级模糊逻辑模型（称为逻辑语言模型，LLM）的应用，其中考虑了专家知识中可获得的数据。进行了风险管理和弹性保证之间的比较。建议采用新的以风险为导向的弹性定义。

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