Publication:
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach

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dc.citedby1
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorAhmad N.A.en_US
dc.contributor.authorMagalingam P.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorCob Z.C.en_US
dc.contributor.authorSalahudin L.en_US
dc.contributor.authorid57350579500en_US
dc.contributor.authorid57190857876en_US
dc.contributor.authorid35302809600en_US
dc.contributor.authorid36682671900en_US
dc.contributor.authorid25824919900en_US
dc.contributor.authorid58885040500en_US
dc.date.accessioned2024-10-14T03:19:39Z
dc.date.available2024-10-14T03:19:39Z
dc.date.issued2023
dc.description.abstractCybersecurity is a growing concern for smart grids, especially with the integration of solar photovoltaics (PVs). With the installation of more solar and the advancement of inverters, utilities are provided with real-time solar power generation and other information through various tools. However, these tools must be properly secured to prevent the grid from becoming more vulnerable to cyber-attacks. This study proposes a threat modeling and risk assessment approach tailored to smart grids incorporating solar PV systems. The approach involves identifying, assessing, and mitigating risks through threat modeling and risk assessment. A threat model is designed by adapting and applying general threat modeling steps to the context of smart grids with solar PV. The process involves the identification of device assets and access points within the smart grid infrastructure. Subsequently, the threats to these devices were classified utilizing the STRIDE model. To further prioritize the identified threat, the DREAD threat-risk ranking model is employed. The threat modeling stage reveals several high-risk threats to the smart grid infrastructure, including Information Disclosure, Elevation of Privilege, and Tampering. Targeted recommendations in the form of mitigation controls are formulated to secure the smart grid�s posture against these identified threats. The risk ratings provided in this study offer valuable insights into the cybersecurity risks associated with smart grids incorporating solar PV systems, while also providing practical guidance for risk mitigation. Tailored mitigation strategies are proposed to address these vulnerabilities. By taking proactive measures, energy sector stakeholders may strengthen the security of their smart grid infrastructure and protect critical operations from potential cyber threats. � 2023, Penerbit UTHM. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.30880/IJSCET.2023.14.03.018
dc.identifier.epage220
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85184894473
dc.identifier.spage210
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85184894473&doi=10.30880%2fIJSCET.2023.14.03.018&partnerID=40&md5=b7b5b6e36ce71d4ddd1c72e221863198
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34420
dc.identifier.volume14
dc.pagecount10
dc.publisherPenerbit UTHMen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleInternational Journal of Sustainable Construction Engineering and Technology
dc.subjectCybersecurity
dc.subjectDREAD
dc.subjectMicrosoft Threat Modeling Tool
dc.subjectresilience
dc.subjectsolar PV
dc.subjectSTRIDE
dc.subjectsustainable energy
dc.titleCybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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