A Privacy Preserving Model for Personal Information in Search Engine

Abstract

In this modern-day society, people get information by using a search engine, and this is a very ordinary part of our lives. When users, however, begin to retrieve some information after their login on the portal sites, the data related to the user and the query information may be sent to the portal server to enhance the users' comfort. Here, the information that the user does not want to expose can be included. So, an invasion of privacy can occur and we have to protect this kind of incident. In this case, if the user hides all the information, the server can not show the customized result for the user, which can influence the advertising revenue. Moreover, there may be a general downward trend in the portal sites field. Thus, in this paper, we propose a user privacy preserving model in a search engine by using a homomorphic encryption algorithm on the user's policy to solve this problem. This can provide information on what the user wants to know with encrypted user information and targeted advertising service from the portal sites.