基于信誉反馈的边缘设备信任评估算法  

Edge Device Trust Evaluation Algorithm Based on Reputation Feedback

作　　者：常敬超 汤红波[1] 游伟[1] CHANG Jingchao;TANG Hongbo;YOU Wei(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《信息工程大学学报》2024年第4期485-491,共7页Journal of Information Engineering University

基　　金：国家重点研发计划(2022YFB2902204)。

摘　　要：针对边缘计算环境中终端设备信任评估的准确度低,无法有效处理恶意终端对边缘网络服务带来的安全威胁问题,提出一种基于信誉反馈的边缘设备信任评估(EDTERF)算法。首先,根据设备间直接交互的历史记录确定直接信任,并引入时间衰减因子,对信任的时效性进行考量;其次,在交互过程中,使用模糊贴近度分析设备信任反馈的可靠度,确定设备间接信任度的推荐权重;最后,采用动态权重对直接信任和间接信任进行聚合,得出设备的全局信任度。实验结果表明,EDTERF算法能够有效抵制恶意节点攻击,具有较高的可靠性。To address the low accuracy of terminal device trust evaluation in the existing edge computing environment and the inability to effectively deal with the security threats brought by malicious terminals to edge network services,an edge device trust evaluation algorithm based on reputation feedback(EDTERF)is proposed.Firstly,the direct trust is determined based on the history of direct interaction between devices,and a time attenuation factor is added to consider the timeliness of the trust.Secondly,during the interaction,fuzzy degree of nearness is used to analyze the reliability of device trust feedback and determine the recommended weight of device indirect trust.Finally,dynamic weights are used to fuse direct trust and indirect trust to obtain the global trust degree of the device.Experimental results show that the EDTERF algorithm can effectively resist malicious node attacks and has high reliability.

关 键 词：边缘计算 信任评估 直接信任 间接信任 模糊贴近度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]