- Title
- Fuzzy-based operational resilience modelling
- Creator
- Ur-Rehman, Attiq; Kamruzzuman, Joarder; Gondal, Iqbal; Jolfaei, Alireza
- Date
- 2022
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/192934
- Identifier
- vital:18087
- Identifier
-
https://doi.org/10.1109/DSAA54385.2022.10032400
- Identifier
- ISBN:9781665473309
- Abstract
- Resilience is an increasingly important concept in current socio-economic landscapes. Due to the competitive global context and security attacks, the organisations are looking for realistic resilience assessments for operations of their digital networks. This study proposes a node Operational Resilience evaluation based on the fuzzy logic by assessing various cyber security dynamics; including node threat protection, avoiding degradation, attack identification and recovery vectors. Through extensive experiments and analysis, we reached to a better understanding of diverse relationships between cyber security factors for the evaluation of Operational Resilience. © 2022 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, 13-16 October 2022, Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 IEEE
- Subject
- Cyber Security; Fuzzy; Operational Resilience; Vulnerability
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