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