A Privacy-Preserving Approach for Web Service Selection and Provisioning

摘要: The growing success of WS-related technologies has resulted in a large number providers, which implement services varying degree sophistication and complexity. While on the one hand availability wide array created competitive flexible market that suits well needs different type users, other hand, it requires them to select among possibly hundreds similar services. As such, Web service selection plays crucial role life-cycle. Here, several application-dependent requirements might constrain best service. In this paper, we study privacy implications caused by exchange amount potentially sensitive data required optimized strategies for service-selection. particular, propose comprehensive framework uniformly protect users' providers' needs, at time selection. We define solution allows matching search criteria against attributes private fashion such both are kept during matching. Further, an approach provisioning rules from unwanted disclosure, user provider's perspective. Our experimental evaluation complexity analysis demonstrate our algorithms efficient.