Evaluating the credibility of cloud services. (February 2017)

• Record Type: Journal Article
• Authors: Li, Zecheng; Liao, Li; Leung, Hareton; Li, Bixin; Li, Chao
• Is Part Of: Computers & electrical engineering. Volume 58(2017)
• Page Start: 161
• Page End: 175
• Publication Date: 2017-02
• Subjects: Cloud computing -- Credibility evaluation -- Trust evidence -- Personal preference; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2016.05.014
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: Propose a model to evaluate the credibility of cloud services. Provide some algorithms for malicious ratings detection and dynamic optimization. Perform two experiments to validate our model and algorithms. Graphical abstract: Abstract: Cloud computing has received wide attention from both industry and academia since it was proposed in the last century. However, due to the open environment and centralized organizational structure, it is more difficult to build trust relationships between users and cloud services. In this paper, a model is proposed to evaluate the credibility of cloud services based on multi factors. The trust evidence, the scene and time were classified as service credibility impact factors. A simulation on the Netlogo platform was performed and the results showed that the proposed model can effectively reflect the user's personal preferences, combine various type of evidences, and control the adverse effects caused by the updating events.