Next Article in Journal
An Urban Cellular Automata Model for Simulating Dynamic States on a Local Scale
Previous Article in Journal
Entropy Generation in Magnetohydrodynamic Mixed Convection Flow over an Inclined Stretching Sheet
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Entropy 2017, 19(1), 11; doi:10.3390/e19010011

A Cloud Theory-Based Trust Computing Model in Social Networks

1
School of Management Science and Engineering, Shandong Normal University, Ji’nan 250014, China
2
Computer Science Faculty, The University of California at Davis, One Shields Ave., Davis, CA 95616, USA
3
Faculty of Computer Sciences, Blekinge Institute of Technology, 37141 Karlskrona, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz Martínez
Received: 4 November 2016 / Revised: 19 December 2016 / Accepted: 22 December 2016 / Published: 28 December 2016
(This article belongs to the Section Information Theory)
View Full-Text   |   Download PDF [3055 KB, uploaded 28 December 2016]   |  

Abstract

How to develop a trust management model and then to efficiently control and manage nodes is an important issue in the scope of social network security. In this paper, a trust management model based on a cloud model is proposed. The cloud model uses a specific computation operator to achieve the transformation from qualitative concepts to quantitative computation. Additionally, this can also be used to effectively express the fuzziness, randomness and the relationship between them of the subjective trust. The node trust is divided into reputation trust and transaction trust. In addition, evaluation methods are designed, respectively. Firstly, the two-dimension trust cloud evaluation model is designed based on node’s comprehensive and trading experience to determine the reputation trust. The expected value reflects the average trust status of nodes. Then, entropy and hyper-entropy are used to describe the uncertainty of trust. Secondly, the calculation methods of the proposed direct transaction trust and the recommendation transaction trust involve comprehensively computation of the transaction trust of each node. Then, the choosing strategies were designed for node to trade based on trust cloud. Finally, the results of a simulation experiment in P2P network file sharing on an experimental platform directly reflect the objectivity, accuracy and robustness of the proposed model, and could also effectively identify the malicious or unreliable service nodes in the system. In addition, this can be used to promote the service reliability of the nodes with high credibility, by which the stability of the whole network is improved. View Full-Text
Keywords: social network; cloud model; trust evaluation; reputation trust; transaction trust social network; cloud model; trust evaluation; reputation trust; transaction trust
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Liu, F.; Zhu, X.; Hu, Y.; Ren, L.; Johnson, H. A Cloud Theory-Based Trust Computing Model in Social Networks. Entropy 2017, 19, 11.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top