An Approach to Detect Malicious Feedback Rating for Measuring Web Service Reputation

In the field of service computing, reputation of a Web service is usually calculated using feedback ratings provided by service users. However, the existing malicious ratings and different preferences of different service users often lead to a bias towards positive or negative ratings. In this paper, we propose a novel reputation computation approach for accurately measuring the reputation of Web services. The proposed approach uses three phases to measure and compute service reputation such as, feedback data collection, malicious rating detection and reputation computation for improving the reputation computation accuracy. A framework is also proposed to detect the malicious feedback rating and determine the accurate service reputation for reliable service selection.