A Model of LBS Privacy Protection Based on Collaboration
Su Duo Li, Jing Lian Huang, Ying Xing Li, Jing Wei Deng, Kai Ying Deng · Applied Mechanics and Materials · 2013
How to protect users privacy effectively while providing location based service (LBS) is a very important study of the mobile Internet. Where location k-anonymity algorithm is the most commonly used algorithm at present. However the algorithm also has some disadvantages. Therefore, this paper presents a model of LBS privacy protection based on collaboration. It divides a location-based query into two parts and sends to two entities separately. One is the location cloaking server (LCS) which calculates k-anonymous locations, and the other is location service provider (LSP) which implements the query. Except the user none of the servers could have the complete query information. By this way it protects the users privacy very well. The algorithm partly solved the problems existing in the traditional k-anonymity algorithm, and the algorithms performance was significantly increased.