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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-09-01
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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 |
id | doaj-art-b42b28125c21466eb68ae8bdf014bf9a |
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 |