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Article type: Research Article
Authors: Mohsenzadeh, Alia; * | Motameni, Homayunb
Affiliations: [a] Department of Information Technology, Mazandaran University of Science and Technology, Babol, Iran | [b] Department of Computer, Islamic Azad University, Sari Branch, Sari, Iran
Correspondence: [*] Corresponding author. Ali Mohsenzadeh, Department of Information Technology, Mazandaran University of Science and Technology, Babol, Iran. Tel.: +98 9119149267; Ali.mohsenzadeh@ustmb.ac.ir
Abstract: Many of modern systems and applications such as cloud computing, grid computing, pervasive computing, P2P networks and even web applications have employed the concepts of trust. Trust is a level of subjective probability between two entities, a trustor (i.e. source entity) and a trustee (i.e. target entity), which is formed through the direct observation nature and/or recommendation from trusted entities. Trust relationship is the most complex relationship between trustor and trustee because it is extremely subjective, non-symmetric, partial transitive, dynamic, context-dependant, uncertainty, and difficult to be evaluation and establish. Today, there is no special trust evaluation model for cloud computing environment. Hence, in this paper, we present a trust model based on fuzzy mathematics named TMFM in cloud computing environment according to success and failure interaction between cloud entities so that the fuzzy direct trust relation is calculated based on direct experiences between trustor and trustee also, trustor can builds a fuzzy Indirect trust relation with trustee through his acquaintances. Simulation results show that the TMFM model has some identification and containment capability in synergies cheating, promotes interaction between entities, and improves the performance of the entire cloud environment.
Keywords: Cloud computing, trust models, fuzzy mathematics, trustor, trustee
DOI: 10.3233/IFS-151657
Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1795-1803, 2015
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