基于节点信任的评价管理机制

Jing Huang, Zhe Sun, Hui-Juan Zhang, Jia Chen, Shen He
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引用次数: 0

摘要

物联网中数百亿节点协同工作,使得虚拟与现实的界限越来越模糊。然而,互联网时代在给人们的生活带来颠覆性变化的同时,也带来了巨大的安全隐患。因此,为了有效识别恶意节点,实现物联网中每个节点的安全与可信,本文提出了一种基于节点信任的评估与管理机制。首先,基于存储在本地的节点满意度和可靠性对节点进行直接信任度量;其次,结合直接推荐信誉度和间接推荐信誉度实现节点的间接可信度度量;最后,根据综合信任值动态分析节点所在环境的风险和威胁,及时识别和消除恶意节点。仿真结果表明,本文提出的评估管理机制能够有效识别恶意节点,从而保障物联网的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation management mechanism based on node trust
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.
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