Show simple item record

dc.contributor.author刘利钊
dc.contributor.author魏鹏
dc.contributor.author王颖
dc.contributor.author李茂青
dc.date.accessioned2016-05-17T02:43:13Z
dc.date.available2016-05-17T02:43:13Z
dc.date.issued2010
dc.identifier.citation武汉大学学报(信息科学版),2010,(5):87-90
dc.identifier.issn1671-8860
dc.identifier.otherWHCH201005021
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/105246
dc.description.abstract针对基于可信计算的网格行为信任模型,运用波动信息能量变换给出了根据实体的交互经验和交互时间计算历史信任值和直接信任值的方法;用HAuSdOrff距离构造了函数相关程度的算法,进而给出了自我信任值的计算方法。通过采用门限值作为平均值、自我信任值为偏差量的正态分布函数构造了推荐信任值的更新函数,给出了域间评估流程图,并用一个有2 000个实体的区域网格进行域内数据更新实验。分析结果说明了各评估算法的合理性和有效性。
dc.description.abstractFor the quantitative assignment of the grid behaviors trust model based on trusted computing,it gives an algorithm of calculating the direct trust values and the history trust values from interactive experience and interactive time using fluctuation energy conversion,makes a function correlation algorithm using hausdorff function,and in turn gives a method of calculating the self-confidence value,makes an update function using a normal distribution function with the threshold as average value and self-confidence value as deviation,gives the inter-domain evaluation process,finally shows the reasonableness and effectiveness of the assessment method by running the update process and analysising the result of the data of a regional grid with 2 000 entities.
dc.description.sponsorship国家985工程信息平台建设资助项目(0X0007);福建省自然科学基金资助项目(2009J01304)
dc.language.isozh_CN
dc.subject网格
dc.subject行为信任
dc.subject可信计算
dc.subject量化评估
dc.subject直接信任值
dc.subject更新函数
dc.subjectgrid
dc.subjectbehavior trust
dc.subjecttrusted computing
dc.subjectquantitative assessment
dc.subjectdirect trust value
dc.subjectupdate function
dc.title对基于可信计算的网格行为信任模型的量化评估方法研究
dc.title.alternativeQuantitative Assignment of the Grid Behavior Trust Model Based on Trusted Computing
dc.typeArticle


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record