Fuzzy-Based Operational Resilience Modelling

Attiq Ur-Rehman; Joarder Kamruzzuman; Iqbal Gondal; Alireza Jolfaei

doi:10.1109/DSAA54385.2022.10032400

Fuzzy-Based Operational Resilience Modelling

Attiq Ur-Rehman, Joarder Kamruzzuman, Iqbal Gondal, Alireza Jolfaei

College of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022
Editors	Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	8
ISBN (Electronic)	9781665473309
DOIs	https://doi.org/10.1109/DSAA54385.2022.10032400
Publication status	Published - 2022
Event	9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022 - Shenzhen, China Duration: 13 Oct 2022 → 16 Oct 2022

Publication series

Name	Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022

Conference

Conference	9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022
Country/Territory	China
City	Shenzhen
Period	13/10/22 → 16/10/22

Keywords

Cyber Security
Fuzzy
Operational Resilience
vulnerability

Access to Document

10.1109/DSAA54385.2022.10032400Licence: In Copyright

Cite this

Ur-Rehman, A., Kamruzzuman, J., Gondal, I., & Jolfaei, A. (2022). Fuzzy-Based Operational Resilience Modelling. In J. Z. Huang, Y. Pan, B. Hammer, M. K. Khan, X. Xie, L. Cui, & Y. He (Eds.), Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022 (Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA54385.2022.10032400

Ur-Rehman, Attiq ; Kamruzzuman, Joarder ; Gondal, Iqbal et al. / Fuzzy-Based Operational Resilience Modelling. Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022. editor / Joshua Zhexue Huang ; Yi Pan ; Barbara Hammer ; Muhammad Khurram Khan ; Xing Xie ; Laizhong Cui ; Yulin He. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022).

@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 Inc.",

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",

note = "9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022 ; Conference date: 13-10-2022 Through 16-10-2022",

}

Ur-Rehman, A, Kamruzzuman, J, Gondal, I & Jolfaei, A 2022, Fuzzy-Based Operational Resilience Modelling. in JZ Huang, Y Pan, B Hammer, MK Khan, X Xie, L Cui & Y He (eds), Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022. Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022, Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, 13/10/22. https://doi.org/10.1109/DSAA54385.2022.10032400

Fuzzy-Based Operational Resilience Modelling. / Ur-Rehman, Attiq; Kamruzzuman, Joarder; Gondal, Iqbal et al.
Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022. ed. / Joshua Zhexue Huang; Yi Pan; Barbara Hammer; Muhammad Khurram Khan; Xing Xie; Laizhong Cui; Yulin He. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy-Based Operational Resilience Modelling

AU - Ur-Rehman, Attiq

AU - Kamruzzuman, Joarder

AU - Gondal, Iqbal

AU - Jolfaei, Alireza

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Cyber Security

KW - Fuzzy

KW - Operational Resilience

KW - vulnerability

UR - http://www.scopus.com/inward/record.url?scp=85148546531&partnerID=8YFLogxK

U2 - 10.1109/DSAA54385.2022.10032400

DO - 10.1109/DSAA54385.2022.10032400

M3 - Conference contribution

AN - SCOPUS:85148546531

T3 - Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022

BT - Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022

A2 - Huang, Joshua Zhexue

A2 - Pan, Yi

A2 - Hammer, Barbara

A2 - Khan, Muhammad Khurram

A2 - Xie, Xing

A2 - Cui, Laizhong

A2 - He, Yulin

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway, NJ

T2 - 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022

Y2 - 13 October 2022 through 16 October 2022

ER -

Ur-Rehman A, Kamruzzuman J, Gondal I, Jolfaei A. Fuzzy-Based Operational Resilience Modelling. In Huang JZ, Pan Y, Hammer B, Khan MK, Xie X, Cui L, He Y, editors, Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022). doi: 10.1109/DSAA54385.2022.10032400

Fuzzy-Based Operational Resilience Modelling

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this