Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems
A prioritized cyber defense remediation plan is critical for effective risk management in Energy DeliverySystem (EDS). Due to the complexity of EDS in terms of heterogeneous nature blending InformationTechnology (IT) and Operation Technology (OT) and Industrial Control System (ICS), scale and critic...
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European Alliance for Innovation (EAI)
2021-09-01
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Online Access: | https://eudl.eu/pdf/10.4108/eai.10-9-2021.170949 |
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doaj-fbcaf51dddf94ed9b86cd56debb478512021-09-29T07:05:54ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Security and Safety2032-93932021-09-0182810.4108/eai.10-9-2021.170949Criticality based Optimal Cyber Defense Remediation in Energy Delivery SystemsKamrul Hasan0Sachin Shetty1Md. Ullah2Amin Hassanzadeh3Tariqul Islam4Tennessee State University, Nashville, TN, USAOld Dominion University, Norfolk, VA, USAOld Dominion University, Norfolk, VA, USAAccenture Labs, Cyber Fusion Center, AccentureSyracuse University, Syracuse, NY, USAA prioritized cyber defense remediation plan is critical for effective risk management in Energy DeliverySystem (EDS). Due to the complexity of EDS in terms of heterogeneous nature blending InformationTechnology (IT) and Operation Technology (OT) and Industrial Control System (ICS), scale and criticalprocesses tasks, prioritized remediations should be applied gradually to protect critical assets. In this work,we propose a methodology for a prioritized cyber risk remediation plan by detecting and evaluating pathsto critical nodes in EDS. We propose critical nodes characteristics evaluation based on nodes’ architecturalpositions, a measure of centrality based on nodes’ connectivity and frequency of network traffic, as well as thecontrolled amount of physical loads. The paper also examines the relationship between cost models of budgetallocation for the removal of vulnerabilities on critical nodes and its impact on gradual readiness.https://eudl.eu/pdf/10.4108/eai.10-9-2021.170949cyber defensecriticalityenergy delivery systemsattack graphcost models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kamrul Hasan Sachin Shetty Md. Ullah Amin Hassanzadeh Tariqul Islam |
spellingShingle |
Kamrul Hasan Sachin Shetty Md. Ullah Amin Hassanzadeh Tariqul Islam Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems EAI Endorsed Transactions on Security and Safety cyber defense criticality energy delivery systems attack graph cost models |
author_facet |
Kamrul Hasan Sachin Shetty Md. Ullah Amin Hassanzadeh Tariqul Islam |
author_sort |
Kamrul Hasan |
title |
Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems |
title_short |
Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems |
title_full |
Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems |
title_fullStr |
Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems |
title_full_unstemmed |
Criticality based Optimal Cyber Defense Remediation in Energy Delivery Systems |
title_sort |
criticality based optimal cyber defense remediation in energy delivery systems |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Security and Safety |
issn |
2032-9393 |
publishDate |
2021-09-01 |
description |
A prioritized cyber defense remediation plan is critical for effective risk management in Energy DeliverySystem (EDS). Due to the complexity of EDS in terms of heterogeneous nature blending InformationTechnology (IT) and Operation Technology (OT) and Industrial Control System (ICS), scale and criticalprocesses tasks, prioritized remediations should be applied gradually to protect critical assets. In this work,we propose a methodology for a prioritized cyber risk remediation plan by detecting and evaluating pathsto critical nodes in EDS. We propose critical nodes characteristics evaluation based on nodes’ architecturalpositions, a measure of centrality based on nodes’ connectivity and frequency of network traffic, as well as thecontrolled amount of physical loads. The paper also examines the relationship between cost models of budgetallocation for the removal of vulnerabilities on critical nodes and its impact on gradual readiness. |
topic |
cyber defense criticality energy delivery systems attack graph cost models |
url |
https://eudl.eu/pdf/10.4108/eai.10-9-2021.170949 |
work_keys_str_mv |
AT kamrulhasan criticalitybasedoptimalcyberdefenseremediationinenergydeliverysystems AT sachinshetty criticalitybasedoptimalcyberdefenseremediationinenergydeliverysystems AT mdullah criticalitybasedoptimalcyberdefenseremediationinenergydeliverysystems AT aminhassanzadeh criticalitybasedoptimalcyberdefenseremediationinenergydeliverysystems AT tariqulislam criticalitybasedoptimalcyberdefenseremediationinenergydeliverysystems |
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1716864595225739264 |