计算机技术与发展2016，Vol.26Issue(12)：132-136,5.DOI:10.3969/j.issn.1673-629X.2016.12.029
基于贝叶斯网络的量化信任评估方法
A Quantitative Trust Assessment Method Based on Bayesian Network
摘要
Abstract
With the continuous development of cloud computing,Internet of Things ( IoT) gradually involves in all walks of life,which contains large amounts of sensitive information,privacy information. In addition,the most direct and serious security risks are malicious nodes involving in information acquisition and data fusion,which send false information and eavesdrop instructions sent with legal identi-ty. Therefore,it is greatly urgent to ensure the security of IoT,especially trust relationship among nodes. In order to determine whether to allow the new node to join the network and to remove the existing malicious nodes,a quantitative trust assessment method is proposed based on Bayesian network. Through classification of trust status of nodes,integration of trust priori probability and allocation of condi-tional probability,the trust probability of assessment nodes could be predicted and inference to determine the trust level. The simulation re-sults show the effectiveness of assessment method and that the assessment subjectivity can be reduced to some extent.关键词
贝叶斯网络/信任评估/条件概率分配/物联网Key words
Bayesian network/trust assessment/conditional probability allocation/Internet of Thing分类
信息技术与安全科学引用本文复制引用
林青,戴慧珺,任德旺..基于贝叶斯网络的量化信任评估方法[J].计算机技术与发展,2016,26(12):132-136,5.基金项目
2015陕西省教育科学研究基金项目(15JK2091) （15JK2091）
西安培华学院课题资助项目(PHKT16090) （PHKT16090）
