{"title":"A zero-trust based scheme for detecting illegal terminals in the Internet of Things of smart grid.","authors":"Hongyu Zhu, Jianwei Tian, Qian Chen, Zheng Tian, Weiqiang Luo, Mingguang Li","doi":"10.7717/peerj-cs.2736","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, the Internet of Things (IoT) for electricity has faced a series of new challenges. Attackers use a compromised terminal as a springboard to enter the network, steal data, issue malicious commands, and cause great harm. In order to combat the threat of compromised terminals, this article proposes a zero-trust based detection scheme for illegal terminals, based on the principle of \"never trust, always verify\" security mechanism. Firstly, the detection scheme uses the state secret SM9 secret system to authenticate the access device. Then, it proposes a continuous trust evaluation based on the centroid drift trust algorithm on the characteristics of the traffic of the input device. Finally, it generates a real-time access policy by the access control engine to achieve a dynamic access policy. Finally, the access control engine generates real-time access policies to achieve dynamic access control. Experimental results show that the designed system has a high security detection accuracy and can effectively deal with the threat of compromised terminals.</p>","PeriodicalId":54224,"journal":{"name":"PeerJ Computer Science","volume":"11 ","pages":"e2736"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11935753/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PeerJ Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.7717/peerj-cs.2736","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the Internet of Things (IoT) for electricity has faced a series of new challenges. Attackers use a compromised terminal as a springboard to enter the network, steal data, issue malicious commands, and cause great harm. In order to combat the threat of compromised terminals, this article proposes a zero-trust based detection scheme for illegal terminals, based on the principle of "never trust, always verify" security mechanism. Firstly, the detection scheme uses the state secret SM9 secret system to authenticate the access device. Then, it proposes a continuous trust evaluation based on the centroid drift trust algorithm on the characteristics of the traffic of the input device. Finally, it generates a real-time access policy by the access control engine to achieve a dynamic access policy. Finally, the access control engine generates real-time access policies to achieve dynamic access control. Experimental results show that the designed system has a high security detection accuracy and can effectively deal with the threat of compromised terminals.
期刊介绍:
PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.