{"title":"无线传感器网络的动态行为监测模糊信任管理机制","authors":"Shiming Fu, Zhang Ping, Xuehong Shi","doi":"10.23919/JCC.fa.2022-0616.202405","DOIUrl":null,"url":null,"abstract":"Traditional wireless sensor networks (WSNs) are typically deployed in remote and hostile environments for information collection. The wireless communication methods adopted by sensor nodes may make the network highly vulnerable to various attacks. Traditional encryption and authentication mechanisms cannot prevent attacks launched by internal malicious nodes. The trust-based security mechanism is usually adopted to solve this problem in WSNs. However, the behavioral evidence used for trust estimation presents some uncertainties due to the open wireless medium and the inexpensive sensor nodes. Moreover, how to efficiently collect behavioral evidences are rarely discussed. To address these issues, in this paper, we present a trust management mechanism based on fuzzy logic and a cloud model. First, a type-II fuzzy logic system is used to preprocess the behavioral evidences and alleviate uncertainty. Then, the cloud model is introduced to estimate the trust values for sensor nodes. Finally, a dynamic behavior monitoring protocol is proposed to provide a balance between energy conservation and safety assurance. Simulation results demonstrate that our trust management mechanism can effectively protect the network from internal malicious attacks while enhancing the energy efficiency of behavior monitoring.","PeriodicalId":9814,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fuzzy trust management mechanism with dynamic behavior monitoring for wireless sensor networks\",\"authors\":\"Shiming Fu, Zhang Ping, Xuehong Shi\",\"doi\":\"10.23919/JCC.fa.2022-0616.202405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional wireless sensor networks (WSNs) are typically deployed in remote and hostile environments for information collection. The wireless communication methods adopted by sensor nodes may make the network highly vulnerable to various attacks. Traditional encryption and authentication mechanisms cannot prevent attacks launched by internal malicious nodes. The trust-based security mechanism is usually adopted to solve this problem in WSNs. However, the behavioral evidence used for trust estimation presents some uncertainties due to the open wireless medium and the inexpensive sensor nodes. Moreover, how to efficiently collect behavioral evidences are rarely discussed. To address these issues, in this paper, we present a trust management mechanism based on fuzzy logic and a cloud model. First, a type-II fuzzy logic system is used to preprocess the behavioral evidences and alleviate uncertainty. Then, the cloud model is introduced to estimate the trust values for sensor nodes. Finally, a dynamic behavior monitoring protocol is proposed to provide a balance between energy conservation and safety assurance. Simulation results demonstrate that our trust management mechanism can effectively protect the network from internal malicious attacks while enhancing the energy efficiency of behavior monitoring.\",\"PeriodicalId\":9814,\"journal\":{\"name\":\"China Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.23919/JCC.fa.2022-0616.202405\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.23919/JCC.fa.2022-0616.202405","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
A fuzzy trust management mechanism with dynamic behavior monitoring for wireless sensor networks
Traditional wireless sensor networks (WSNs) are typically deployed in remote and hostile environments for information collection. The wireless communication methods adopted by sensor nodes may make the network highly vulnerable to various attacks. Traditional encryption and authentication mechanisms cannot prevent attacks launched by internal malicious nodes. The trust-based security mechanism is usually adopted to solve this problem in WSNs. However, the behavioral evidence used for trust estimation presents some uncertainties due to the open wireless medium and the inexpensive sensor nodes. Moreover, how to efficiently collect behavioral evidences are rarely discussed. To address these issues, in this paper, we present a trust management mechanism based on fuzzy logic and a cloud model. First, a type-II fuzzy logic system is used to preprocess the behavioral evidences and alleviate uncertainty. Then, the cloud model is introduced to estimate the trust values for sensor nodes. Finally, a dynamic behavior monitoring protocol is proposed to provide a balance between energy conservation and safety assurance. Simulation results demonstrate that our trust management mechanism can effectively protect the network from internal malicious attacks while enhancing the energy efficiency of behavior monitoring.
期刊介绍:
China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide.
The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology.
China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.