结合模糊集合与D-S证据理论的WSN信任评估模型

doi:10.16182/j.issn1004731x.joss.201804003

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (4): 1229-1236.doi: 10.16182/j.issn1004731x.joss.201804003

结合模糊集合与D-S证据理论的WSN信任评估模型

周治平, 赵晓晓, 邵楠楠

江南大学物联网技术应用教育部工程研究中心,江苏无锡 214122

收稿日期:2016-05-19 修回日期:2016-07-24 出版日期:2018-04-08 发布日期:2019-01-04
作者简介:周治平(1962-),男,江苏无锡,博士,教授,研究方向为检测技术与自动化装置、信息安全等。
基金资助:
国家自然科学基金(61373126),江苏省自然科学基金(BK20131107),中央高校基本科研业务费专项资金(JUSRP51510)

Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network

Zhou Zhiping, Zhao Xiaoxiao, Shao Nannan

Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, 214122, China

Received:2016-05-19 Revised:2016-07-24 Online:2018-04-08 Published:2019-01-04

摘要/Abstract

摘要： 兼顾安全性需求和能耗因素,定义3种典型信任因子来计算节点的直接信任值,利用模糊集合理论进行模糊划分,将模糊隶属度函数作为D-S证据理论中的基本置信度函数;通过邻居节点的推荐获取节点的间接信任值,根据Dempster组合规则对基于权重修正后的直接信任值与间接信任值进行融合。将基于身份的密码机制与信任管理机制进行有效结合,提高信任信息在传递中的安全性。分析与仿真结果表明该模型有良好的动态适应性及鲁棒性,能及时、准确地识别网络中的恶意节点,有效提高网络的安全性。

关键词: 无线传感器网络, 信任评估, 模糊集合, D-S证据理论, 密码机制

Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security of trust information in the transmission. The analysis and simulation results show that the proposed model has good dynamic adaptability and robustness, and can identify the malicious nodes timely and accurately, so as to improve the security of the networks availably.

Key words: wireless sensor networks (WSNs), trust evaluation, fuzzy set, D-S evidence theory, cryptosystem

中图分类号:

TP393

周治平, 赵晓晓, 邵楠楠. 结合模糊集合与D-S证据理论的WSN信任评估模型[J]. 系统仿真学报, 2018, 30(4): 1229-1236.

Zhou Zhiping, Zhao Xiaoxiao, Shao Nannan. Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network[J]. Journal of System Simulation, 2018, 30(4): 1229-1236.

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结合模糊集合与D-S证据理论的WSN信任评估模型

Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network

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