西安电子科技大学学报 ›› 2019, Vol. 46 ›› Issue (4): 58-65.doi: 10.19665/j.issn1001-2400.2019.04.009

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一种面向物联网节点的综合信任度评估模型

谢丽霞,魏瑞炘   

  1. 中国民航大学 计算机科学与技术学院,天津 300300
  • 收稿日期:2019-03-03 出版日期:2019-08-20 发布日期:2019-08-15
  • 作者简介:谢丽霞(1974—), 女, 教授, 博士, E-mail: lxxie@126.com
  • 基金资助:
    国家自然科学基金民航联合研究基金((U1833107))

IoT Node trust comprehensive evaluation model

XIE Lixia,WEI Ruixin   

  1. School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China
  • Received:2019-03-03 Online:2019-08-20 Published:2019-08-15

摘要:

针对现有物联网的信任评估模型信任评估准确度较低且不能有效应对节点恶意行为的不足,提出一种面向物联网节点的综合信任度评估模型。首先,设计节点相同质量服务强度评估指标以降低非入侵因素对信任评估的影响; 其次,从节点相似度、评价差异度与节点自身的信任度值方面评估推荐节点的可靠度,并作为推荐信任度的权重; 最后,基于熵计算直接信任度和推荐信任度的自适应权重,计算节点的综合信任度值。实验结果表明,模型在处理恶意服务和恶意推荐行为方面具有一定的优势,且在保证信任度评估有效性的同时可以降低传输能耗。

关键词: 物联网, 信任度评估, 贝叶斯理论, 推荐信任, 节点相似度

Abstract:

Aiming at the low accuracy and capability to deal with malicious nodes of the Internet of Things(IoT) trust evaluation model, an IoT node comprehensive trust evaluation model (INCTEM) is proposed. First, the evaluation index of the same quality service strength is introduced to reduce the non-intrusive impact on trust evaluation. Second, the recommended node’s reliability is evaluated from three aspects: node similarity, difference and recommended node’s trust value. Then the recommended node’s reliability is used as the recommendation trust weight. Finally, the adaptive weights of direct and recommended trust are calculated to compute the comprehensive trust value. Experimental results show that the INCTEM has advantages in dealing with malicious services and malicious recommendation behaviors, and can reduce the transmission energy consumption while ensuring the validity of trust evaluation.

Key words: internet of things, trust evaluation, Bayesian theory, recommendation trust, node similarity

中图分类号: 

  • TP309