分布式物联网中可信群体的构建

Rui Xin, Liang Chen, Ning Lu, Xin Liu, Wei Liu, Guiping Zheng
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引用次数: 0

摘要

如何建立可信群体是物联网环境下需要解决的关键问题。本文提出了一种适用于分布式网络的可信测量方案。其测量方法主要包括环境可信测量、直接可信测量、间接可信测量和最终综合可信测量。在节点可信度量中,增加了组内多个节点的间接可信度量,综合考虑组内各节点的信任评价值。在可信个体加入过程中,建立具有相似群体特征的可信群体。在安全环境维护中,给出了一种相对最优的中继节点选择机制,以避免负载不平衡。同时,可信组内的节点根据投票的方式排除恶意节点,维护网络的安全可靠运行。仿真结果表明,该机制下的可信度测量结果能够很好地反映物联网感知节点的真实状态,能够及时识别和消除恶意节点,在群能耗方面也具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Trusted Group in Distributed Internet of Things
How to build trusted group is a key problem to be solved in the IOT environment. In this paper, a trusted measurement scheme suitable for distributed networking is proposed. Its measurement methods mainly include environmental trusted measurement, direct trusted measurement, indirect trusted measurement, and the final comprehensive trusted measurement. In the node trusted measurement, the indirect trusted measurement of multiple nodes in the group is added, and the trust evaluation value of each node in the group is comprehensively considered. During the trusted individual joining, build a trusted group with similar group characteristics. In the security environment maintenance, a relatively optimal relay node selection mechanism is given to avoid the load imbalance. At the same time, the nodes in the trusted group exclude malicious nodes according to the voting method to maintain the safe and reliable operation of the network. Simulation results show the credibility measurement results in this mechanism can well reflect the real state of the perceived nodes of the IOT, and can timely identify and eliminate malicious nodes, it also has a good performance in group energy consumption.
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