Yi Wang, Hao Yang, Yiming Zhang, Yitao Zhao, Shaoyang Yin
{"title":"Privacy‐preserving security monitoring data sharing of new power system based on batch verification ring signature","authors":"Yi Wang, Hao Yang, Yiming Zhang, Yitao Zhao, Shaoyang Yin","doi":"10.1002/spy2.418","DOIUrl":null,"url":null,"abstract":"To meet the increasing electricity demand and achieve the goals of “carbon peaking” and “carbon neutrality”, it is urgent to develop a new power system with new energy as the main body and large‐scale integration of power intelligent electronic devices. However, the large‐scale access to intelligent devices will bring new network security issues. In response to network security threats, a power grid network security situational awareness system is established to assess the security situation of the power grid and strengthen the network security. Cloud data sharing enables security monitoring data to flow faster and be fully used to facilitate security situational research and judgment. Nevertheless, in reality, issues such as privacy leakage, data tampering, and unauthorized access hinder the application of cloud data sharing. To solve the above problems, we propose a new secure sharing scheme for power system security monitoring data based on batch verification ring signature. In this scheme, we design a batch verification ring signature algorithm to guarantee users' anonymity and promote the efficiency of data sharing. Then, we formally prove that our scheme achieves three security features: anonymity, confidentiality, and unforgeability. Finally, experimental simulations show that our scheme's computational cost is less than half that of other schemes, which also has lower communication overhead.","PeriodicalId":29939,"journal":{"name":"Security and Privacy","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/spy2.418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
To meet the increasing electricity demand and achieve the goals of “carbon peaking” and “carbon neutrality”, it is urgent to develop a new power system with new energy as the main body and large‐scale integration of power intelligent electronic devices. However, the large‐scale access to intelligent devices will bring new network security issues. In response to network security threats, a power grid network security situational awareness system is established to assess the security situation of the power grid and strengthen the network security. Cloud data sharing enables security monitoring data to flow faster and be fully used to facilitate security situational research and judgment. Nevertheless, in reality, issues such as privacy leakage, data tampering, and unauthorized access hinder the application of cloud data sharing. To solve the above problems, we propose a new secure sharing scheme for power system security monitoring data based on batch verification ring signature. In this scheme, we design a batch verification ring signature algorithm to guarantee users' anonymity and promote the efficiency of data sharing. Then, we formally prove that our scheme achieves three security features: anonymity, confidentiality, and unforgeability. Finally, experimental simulations show that our scheme's computational cost is less than half that of other schemes, which also has lower communication overhead.