Research of trust evaluation model based on dynamic Bayesian network

Trust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with time factor as proposed.The impact of authent...

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Main Authors: Hong-quan LIANG, Wei WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-09-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.09.009/
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author Hong-quan LIANG
Wei WU
author_facet Hong-quan LIANG
Wei WU
author_sort Hong-quan LIANG
collection DOAJ
description Trust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with time factor as proposed.The impact of authentication and network interaction behavior was fully considered,and historical interaction window,timelin factor and penalty factor were introduced.Also,the polymerization method of the direct trust de ee and indirect trust degree was given,and the dynamic adaptive ability of the model was improved as well as the calculation of the sensitivity and accuracy.Furthermore,the threaten of abnormal entity was effectively suppressed.Experimental results show that this model computes the trust degree more sensitively and effecti ly as well as better dynamic adaptivity compared with the traditional bayesian network model.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2013-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b42b28125c21466eb68ae8bdf014bf9a2025-01-14T06:41:15ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-09-0134687659674771Research of trust evaluation model based on dynamic Bayesian networkHong-quan LIANGWei WUTrust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with time factor as proposed.The impact of authentication and network interaction behavior was fully considered,and historical interaction window,timelin factor and penalty factor were introduced.Also,the polymerization method of the direct trust de ee and indirect trust degree was given,and the dynamic adaptive ability of the model was improved as well as the calculation of the sensitivity and accuracy.Furthermore,the threaten of abnormal entity was effectively suppressed.Experimental results show that this model computes the trust degree more sensitively and effecti ly as well as better dynamic adaptivity compared with the traditional bayesian network model.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.09.009/trusted networktrust evaluationdynamic Bayesian networkconditional probabilistic distribution
spellingShingle Hong-quan LIANG
Wei WU
Research of trust evaluation model based on dynamic Bayesian network
Tongxin xuebao
trusted network
trust evaluation
dynamic Bayesian network
conditional probabilistic distribution
title Research of trust evaluation model based on dynamic Bayesian network
title_full Research of trust evaluation model based on dynamic Bayesian network
title_fullStr Research of trust evaluation model based on dynamic Bayesian network
title_full_unstemmed Research of trust evaluation model based on dynamic Bayesian network
title_short Research of trust evaluation model based on dynamic Bayesian network
title_sort research of trust evaluation model based on dynamic bayesian network
topic trusted network
trust evaluation
dynamic Bayesian network
conditional probabilistic distribution
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.09.009/
work_keys_str_mv AT hongquanliang researchoftrustevaluationmodelbasedondynamicbayesiannetwork
AT weiwu researchoftrustevaluationmodelbasedondynamicbayesiannetwork