| Title | Multilevel Fuzzy Logic-Based Approach for Critical Energy Infrastructure’s Cyber Resilience Assessment |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Brezhniev, Yevhen |
| Conference Name | 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT) |
| Keywords | Accidents, CEI cyber resilience assessment, Computer crime, critical energy infrastructure, critical infrastructures, cyber incidents, cyber resilience, Damage Assessment, external hostile influences, Fuzzy logic, fuzzy logic-based approach, fuzzy set theory, Linguistics, logic linguistic models, logic-linguistic models, multilevel fuzzy logic models, pubcrawl, resilience, resilience assurance, resilience capacities, Resiliency, risk management, Safety, security of data, Ukrainian CEI, vital physical system |
| Abstract | 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. |
| DOI | 10.1109/DESSERT.2019.8770034 |
| Citation Key | brezhniev_multilevel_2019 |
Multilevel Fuzzy Logic-Based Approach for Critical Energy Infrastructure’s Cyber Resilience Assessment