Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review.

Darteh, O. F.; Liu, Q.; Liu, X.; Bah, I.; Nakoty, F. M.; Acakpovi, A.

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dc.contributor.author	Darteh, O. F.
dc.contributor.author	Liu, Q.
dc.contributor.author	Liu, X.
dc.contributor.author	Bah, I.
dc.contributor.author	Nakoty, F. M.
dc.contributor.author	Acakpovi, A.
dc.date.accessioned	2023-03-20T09:18:51Z
dc.date.available	2023-03-20T09:18:51Z
dc.date.issued	2022
dc.identifier.other	10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927892
dc.identifier.uri	https://ieeexplore.ieee.org/document/9927892
dc.identifier.uri	http://atuspace.atu.edu.gh:8080/handle/123456789/3068
dc.description.abstract	The transition of the conventional power grid into the Smart Grid (SG), a widely distributed energy delivery network characterized by a two-way flow of electricity and information, is key for energy sector stakeholders. Despite the SG’s clear improvements, there are still certain network vulnerabilities in the power distribution and communication systems. Therefore, research into cyber security frameworks is essential to handle these security issues adequately. This paper first discussed SG’s architecture, possible vulnerability, and information networking. Finally, the emerging simulation frameworks for analyzing smart grid cyberattacks were discussed, including the SG Hardware-In-the-Loop co-simulation framework (2018), GridAttackSim (2020), and GridAttackAnalyzer (2021).	en_US
dc.language.iso	en_US	en_US
dc.publisher	The 8th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2022)	en_US
dc.subject	Simulation Frameworks	en_US
dc.subject	Smart Grid	en_US
dc.subject	Cyberattack	en_US
dc.title	Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review.	en_US