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Author:

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

Indexed by:

Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

Acta Scientiarum Naturalium Universitatis Pekinensis

ISSN: 0479-8023

Year: 2017

Issue: 2

Volume: 53

Page: 314-320

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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