A location privacy protection method based on location semantics over road networks
Jiancheng HU, Jiawei Yuan · 2022
Aiming at solving the problem that it is difficult for users to resist location semantic inference attacks when they consume location-based services (LBS) in a road network environment, a location privacy protection method based on the semantic similarity of road under user collaboration is proposed: For LBS consumption, in the roads provided by collaborative users, we use the semantic similarity between each road and the road where the requesting user is located to determine the most suitable road, build an anonymous road set, and pass the agent. The method is theoretically analysed, and experiments are carried out on the anonymous success rate and anonymous time based on the Brinkhoff road network data generator. Experimental results show that this method has better privacy protection and higher service quality.