SECURE TRUST WORTHY SERVICE DISCOVERY (STSD) MODEL BASED ON USER PREFERENCES

Abstract

The need for filtering authentic web services from the rest has become quite hectic seeing as the malicious ones seem to
more and more legitimate by the day. The loss of proprietary information to such web services is becoming increasingly
common and as such the paper suggests an idea in which a third party authenticating web service evaluate web service providers
and facilitates the user with credible list of providers based on its "Trust filter". The filter takes into account many factors
including the various customer preferences and prepares its itinerary trusted candidates in order to satisfy the customized needs
of the individual. The idea is to mine user’s preferences from the requirements specification provided by the user and the
preferences are used to determine the weights of each Quality of Service QoS attribute. The local trust on a service for the user is
derived by combining the trust on QoS attributes and the trust on user’s ratings. In order to classify the web services based on the
user's opinion the user must first be legitimate. The global trustworthiness of a service for the users group, the dishonest user are
removed based on the results of Local honesty evaluation process. The simulation results indicate that the model works well on
personalized evaluation of trust, and it can effectively dilute the influence of malicious ratings.