The edge attack and location semantic attack can easily infer the user's location according to the surrounding environment of the mobile user's activity, thus the user's location privacy is revealed. Aiming at this problem, this paper proposed a location semantic security privacy protection method against edge attack. The method defined a concept named as road privacy which combined road sensitivity and road relevance. The road privacy revealed the sensitivity of the road in semantic location, and the equilibrium of the users number among the user road and other roads in the anonymity set. Based on the central server structure, according to the user's location privacy requirements, the proposed method selected the road with the lowest road privacy and added the road to the anonymity set using a breadth-first search method. Finally it built a anonymity set with semantic security and anti-edge attacks. The tested results show that the anonymity set created by the proposed method has higher anonymity success rate to 87%, and the ability to resist edge attack and semantic attack is higher than that of the compared algorithms.

[2021-02-05] Printed Article /doc/2019.10.0681/v2