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作者:

Zhao, B. (Zhao, B..) | He, J. (He, J..) | Zhang, Y. (Zhang, Y..) (学者:张勇) | Zhai, P. (Zhai, P..)

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Scopus PKU CSCD

摘要:

In order to solve the problem of objectively evaluating recommendation trust using the weight of third party's recommendation in the development of a solution for access control in open networks, a method of recommended trust evaluation based on the gray correlation analysis is proposed, which uses grey correclaton analysis theory between the entities of the development trend of the different degree to evaluate recommended weight in open network. Examples and simulation experiments show that results derived from the computation of the weight of the recommending entity is consistent with the actual results, which helps to verify that the proposed method can ensure the effectiveness and objectiveness of the evaluation decision on recommendation trust. © 2017 Peking University.

关键词:

Access control; Grey relational analysis; Open network; Recommended entity; Trust evaluation

作者机构:

  • [ 1 ] [Zhao, B.]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhao, B.]Department of Computer Science, Jining University, Qufu, 273155, China
  • [ 3 ] [Zhao, B.]State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. Ltd, Beijing, 100871, China
  • [ 4 ] [He, J.]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Zhang, Y.]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Zhai, P.]School of Software Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Zhai, P.]Department of Computer Science, Jining University, Qufu, 273155, China

通讯作者信息:

  • [Zhao, B.]School of Software Engineering, Beijing University of TechnologyChina

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来源 :

Acta Scientiarum Naturalium Universitatis Pekinensis

ISSN: 0479-8023

年份: 2017

期: 2

卷: 53

页码: 314-320

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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