传感技术学报2016，Vol.29Issue(6)：927-933,7.DOI:10.3969/j.issn.1004-1699.2016.06.023
基于贝叶斯的改进WSNs信任评估模型
An Improved Trust Evaluation Model Based on Bayesian for WSNs
摘要
Abstract
Based on Bayesian and entropy,an improved trust evaluation model for wireless sensor networks(WSNs) is proposed. Considering the abnormal behavior caused by non-invasive factors,the abnormal discount factor is in⁃troduced to modify the Bayesian equation which is used to estimate the direct trust. The sliding window and adap⁃tive forgetting factor is used for the update of the direct trust. Then,according to the confidence level,whether the direct trust is credible enough to be a comprehensive trust can be determined,which effectively reduces energy con⁃sumption and the impact of malicious feedback. Finally,if the direct trust is not reliable enough,the comprehensive trust should be calculated,which uses entropy to assign weights to different recommendation. Simulation results show that the proposed model can detect malicious nodes effectively and reduce energy consumption of the network to a great extent.关键词
无线传感器网络/信任评估/贝叶斯理论/熵/置信度Key words
wireless sensor networks(WSNs)/trust evaluation/Bayesian theory/entropy/confidence level分类
信息技术与安全科学引用本文复制引用
周治平,邵楠楠..基于贝叶斯的改进WSNs信任评估模型[J].传感技术学报,2016,29(6):927-933,7.基金项目
国家自然科学基金项目（61373126）；江苏省自然科学基金项目（BK20131107）；中央高校基本科研业务费专项资金项目 （）
