Location-aware privacy protection scheme in continuous location-based service

A location-aware anonymous selection algorithm (LaSA) based on local cache was proposed in order to enhance the protection of users′ privacy in location-based service (LBS). Anonymous zones were constructed without relying on the trusted third-party (TTP) server, using historical track information and cache information. The Markov prediction model was used to select the possible query location in the future continuous location service query. The anonymous region was constructed to cover the region inspected by user based on predicted location, cache contribution, and data freshness. Results show that the proposed LaSA solution can provide a higher cache hit rate reduce the number of user service requests, and ensure the security of user′s location data with comparison with the existing schemes. Copyright ©2020 Journal of Zhejiang University (Engineering Science). All rights reserved.