Privacy Preserving Method Based on Location Service in Personalized Search
ZHANG Qiang① WANG Guojun②
①(School of Information Science and Engineering, Central South University, Changsha 410083, China) ②(School of Computer Science and Educational Software, Guangzhou University, Guangzhou 510006, China)
Abstract：For personalized search based on location service, the trusted third-party server and peer node are used as the main method for privacy preserving. However, entirely trusted third-party server or peer node does not exist in real life. In order to address this problem, a method of privacy preserving on the location of mobile
users is proposed when using personalized search. The method is used to convert the user’s location information into distance information and generate the user model according to the user’s query type, forming a query matrix with user location information, then the matrix is used to encrypt the user’s query and conceal the user information in the query matrix. Finally, according to the calculation of the security inner product, the K file with the highest relevance score is returned to the user. It is evident from the security analysis that the proposed method can effectively protect the user’s query privacy and location privacy. The analysis and experimental results show that the proposed method can greatly shorten the time of index construction and reduce the communication overhead. While providing users with location based personalized search results, the method is able to remedy the defects of small-screen mobile devices.
张强,王国军. 个性化搜索中一种基于位置服务的隐私保护方法[J]. 电子与信息学报, 2018, 40(8): 1998-2005.
ZHANG Qiang, WANG Guojun. Privacy Preserving Method Based on Location Service in Personalized Search. JEIT, 2018, 40(8): 1998-2005.
