{"title":"An Information Security Model for an IoT-enabled Smart Grid in the Saudi energy sector","authors":"Abeer Akkad, G. Wills, A. Rezazadeh","doi":"10.1109/SASG57022.2022.10200572","DOIUrl":null,"url":null,"abstract":"The evolution of an Internet of Things-enabled Smart Grid affords better automation, communication, monitoring, and control of electricity consumption. It is now essential to supply and transmit the data required, to achieve better sensing, more accurate control, wider information communication and sharing, and more rational decision-making. However, the rapid growth in connected entities, accompanied by the increased demand for electricity, has resulted in several challenges to be addressed. One of these is securing the energy information exchange proactively, before an incident occurs. It is argued that Smart Grid systems were designed without any regard for security, which is considered a serious omission, especially for data security, energy information exchange, and the privacy of both the consumers and utility companies. This research is motivated by the gap identified in the requirements and controls for maintaining cybersecurity in the bi-directional data flow within the IoT-enabled Smart Grid. The Threat Modelling identified 9 internet-based threats. This research develops and confirms a security model which includes 45 relevant security controls and 7 security requirements on 7 access points. For future work, the confirmed model will be verified and validated using formal modelling methods.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Saudi Arabia Smart Grid (SASG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASG57022.2022.10200572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The evolution of an Internet of Things-enabled Smart Grid affords better automation, communication, monitoring, and control of electricity consumption. It is now essential to supply and transmit the data required, to achieve better sensing, more accurate control, wider information communication and sharing, and more rational decision-making. However, the rapid growth in connected entities, accompanied by the increased demand for electricity, has resulted in several challenges to be addressed. One of these is securing the energy information exchange proactively, before an incident occurs. It is argued that Smart Grid systems were designed without any regard for security, which is considered a serious omission, especially for data security, energy information exchange, and the privacy of both the consumers and utility companies. This research is motivated by the gap identified in the requirements and controls for maintaining cybersecurity in the bi-directional data flow within the IoT-enabled Smart Grid. The Threat Modelling identified 9 internet-based threats. This research develops and confirms a security model which includes 45 relevant security controls and 7 security requirements on 7 access points. For future work, the confirmed model will be verified and validated using formal modelling methods.