Jing Huang, Zhe Sun, Hui-Juan Zhang, Jia Chen, Shen He
{"title":"An evaluation management mechanism based on node trust","authors":"Jing Huang, Zhe Sun, Hui-Juan Zhang, Jia Chen, Shen He","doi":"10.1109/ICCSS53909.2021.9721966","DOIUrl":null,"url":null,"abstract":"Tens of billions of nodes in the Internet of Things work together, making the boundary between virtual and reality more and more blurred. However, while the Internet age has brought subversive changes to people's lives, it has also brought huge security risks. Therefore, in order to effectively identify malicious nodes and realize the security and credibility of each node in the Internet of Things, this paper proposes an evaluation and management mechanism based on node trust. First, perform direct trust measurement of nodes based on node satisfaction and reliability stored locally; Secondly, the indirect trustworthiness measurement of the node is realized by combining the direct recommendation trust degree and the indirect recommendation trust degree; Finally, according to the comprehensive trust value, it dynamically analyzes the risk and threat of the environment where the node is located, and identifies and eliminates malicious nodes in time. The simulation results show that the evaluation management mechanism proposed in this paper can effectively identify malicious nodes, thereby ensuring the security of the Internet of Things.","PeriodicalId":435816,"journal":{"name":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSS53909.2021.9721966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Tens of billions of nodes in the Internet of Things work together, making the boundary between virtual and reality more and more blurred. However, while the Internet age has brought subversive changes to people's lives, it has also brought huge security risks. Therefore, in order to effectively identify malicious nodes and realize the security and credibility of each node in the Internet of Things, this paper proposes an evaluation and management mechanism based on node trust. First, perform direct trust measurement of nodes based on node satisfaction and reliability stored locally; Secondly, the indirect trustworthiness measurement of the node is realized by combining the direct recommendation trust degree and the indirect recommendation trust degree; Finally, according to the comprehensive trust value, it dynamically analyzes the risk and threat of the environment where the node is located, and identifies and eliminates malicious nodes in time. The simulation results show that the evaluation management mechanism proposed in this paper can effectively identify malicious nodes, thereby ensuring the security of the Internet of Things.