Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach
Cybersecurity 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, t...
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my.uniten.dspace-344202024-10-14T11:19:39Z Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach Rahim F.A. Ahmad N.A. Magalingam P. Jamil N. Cob Z.C. Salahudin L. 57350579500 57190857876 35302809600 36682671900 25824919900 58885040500 Cybersecurity DREAD Microsoft Threat Modeling Tool resilience solar PV STRIDE sustainable energy Cybersecurity 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. Final 2024-10-14T03:19:39Z 2024-10-14T03:19:39Z 2023 Article 10.30880/IJSCET.2023.14.03.018 2-s2.0-85184894473 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184894473&doi=10.30880%2fIJSCET.2023.14.03.018&partnerID=40&md5=b7b5b6e36ce71d4ddd1c72e221863198 https://irepository.uniten.edu.my/handle/123456789/34420 14 3 210 220 All Open Access Gold Open Access Penerbit UTHM Scopus |
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Cybersecurity DREAD Microsoft Threat Modeling Tool resilience solar PV STRIDE sustainable energy Rahim F.A. Ahmad N.A. Magalingam P. Jamil N. Cob Z.C. Salahudin L. Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
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Cybersecurity 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. |
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57350579500 |
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57350579500 Rahim F.A. Ahmad N.A. Magalingam P. Jamil N. Cob Z.C. Salahudin L. |
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Article |
author |
Rahim F.A. Ahmad N.A. Magalingam P. Jamil N. Cob Z.C. Salahudin L. |
author_sort |
Rahim F.A. |
title |
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
title_short |
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
title_full |
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
title_fullStr |
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
title_full_unstemmed |
Cybersecurity Vulnerabilities in Smart Grids with Solar Photovoltaic: A Threat Modelling and Risk Assessment Approach |
title_sort |
cybersecurity vulnerabilities in smart grids with solar photovoltaic: a threat modelling and risk assessment approach |
publisher |
Penerbit UTHM |
publishDate |
2024 |
_version_ |
1814061055605735424 |
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13.214268 |