Web services trust assessment based on probabilistic databases
Source of Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
© Springer International Publishing Switzerland 2015. This paper discusses the assessment of Web services trust. This assessment is undermined by the uncertainty that raises due to end-users’ ratings that can be questioned and variations in Web services performance at run-time. To tackle the first uncertainty a fuzzy-based credibility model is suggested so that the gap between end-users (known as strict) and the current majority is reduced. To deal with the second uncertainty we propose a probabilistic trust approach. A series of experiments are carried out to validate the probabilistic approach built upon probabilistic databases and a fuzzy-based credibility model. The results show that the probabilistic approach improves significantly trust quality. Future work consists of incorporating several credibility models into one probabilistic trust model.
Credibility, Fuzzy clustering, Probability, Trust, Web service
Saoud, Zohra; Faci, Noura; Maamar, Zakaria; and Benslimane, Djamal, "Web services trust assessment based on probabilistic databases" (2015). All Works. 3959.
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