The Method of Location Privacy Protection Based on Grid Identifier Matching
ZHANG Shaobo①③ LIU Qin② WANG Guojun①④
①(School of Information Science and Engineering, Central South University, Changsha 410083, China) ②(College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082,China) ③(School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China) ④(School of Computer Science and Educational Software, Guangzhou University, Guangzhou 510006, China)
The model based on fully-trusted third party is a major model for location privacy protection in location-based services, but the model has some risk of exposing privacy. In this paper, a location privacy protection method based on Grid Identifier Matching (GIM) is proposed. In this method the user first divides the query area into grid and combines the order-preserving symmetric encryption and K-anonymity mechanism. Then, the K-anonymity paradigm is formed in anonymizer. Finally, the query results are returned to users by utilizing GIM. In the query process, the anonymizer dose not have any knowlegdge about a user’s real location, which can enhance the user’s location privacy. Meanwhile, the anonymizer only does simple comparison and matching operations, which relieves effectively is performance bottleneck of the anonymizer. Security analysis shows that the proposed approach can effectively protect the user’s location privacy. Experimental evaluations show that the proposed approach can decrease processing time overhead of the anonymizer.
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