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An Approach To Reputation-Oriented Service Discovery
[Full Text]
AUTHOR(S)
Arnab Paul, Sudipta Roy
KEYWORDS
Service Oriented Architecture, service discovery, service reputation, malicious feedback rating, feedback purity value, user credibility, Gaussian kernel function.
ABSTRACT
In recent years, service discovery has become the most widely explored domain in Service Oriented Architecture (SOA) for both industry and academia. Due to the popularity of SOA, services over the Web are growing rapidly. Therefore, service reputation measurement approach plays a vital role in selecting the most optimal service from the pool of services offering similar functionality. Feedback ratings are collected from various consumers of the service to assess the service reputation. But, it is improper to evaluate the service reputation basing directly on raw feedback ratings as because malicious consumers do exist in such online open systems who intentionally submit unfair feedback ratings to distort the service reputations. Therefore, it becomes important to assess the user credibility so that feedback ratings from high credible users can be weighted more than those of low credible users. This paper proposes a service reputation measurement approach in which the user credibility assessment methodology is devised by employing Gaussian kernel function. Experiments are performed on simulated environment to validate the effectiveness of the proposed reputation measurement approach.
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