@inproceedings{e2e36ce818fa4baab8c9ce89d9a43533,
title = "Fuzzy-Based Operational Resilience Modelling",
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.",
keywords = "Cyber Security, Fuzzy, Operational Resilience, vulnerability",
author = "Attiq Ur-Rehman and Joarder Kamruzzuman and Iqbal Gondal and Alireza Jolfaei",
year = "2022",
doi = "10.1109/DSAA54385.2022.10032400",
language = "English",
series = "Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022",
publisher = "Institute of Electrical and Electronics Engineers",
editor = "Huang, {Joshua Zhexue} and Yi Pan and Barbara Hammer and Khan, {Muhammad Khurram} and Xing Xie and Laizhong Cui and Yulin He",
booktitle = "Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022",
address = "United States",
note = "9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022 ; Conference date: 13-10-2022 Through 16-10-2022",
}