Privacy Preservation Protection for Personalized Web User by k-Anonymity with Profile Construction for Web Search Engines

Personalized Web Search (PWS) of each user is varied from common web search, since personalized web search of the each user is majorly relying on the queries submitted by user and their user interests with their information needs. Though, substantiation shows that users disinclination to reveal their private information throughout web search has become a most important barrier designed for the extensive proliferation of PWS. In order to overcome study to privacy protection in PWS relying on their user preferences in this work proposed a hierarchical tree structure for user profiles. Introduces a novel PWS framework named as User Customizable Online Privacy-preserving Search with K-anonymity (UCOPSK) with the intention of is able to adaptively simplify profiles with queries while regarding user specified privacy achievement in both online and offline searching. The proposed UCOPSK framework majorly consists of two phases as important like the offline and online phases, designed for each user. Throughout the offline phase, a hierarchical user profile is created and customized through the user-specified confidentiality requirements. K-anonymity is designed to each user to disclosure sensitive information of user, which is able to successfully prevent the information of each. K-anonymity additionally considers privacy for user through calculation K value. Experimentation evaluation results shows that the proposed UCOPSK achieves highest searching quality, less response time when compare to existing personalized search services, it shows that the proposed UCOPSK methods fully protect user privacy.