Privacy protection in locationbased services: Model and development

Abstract

In recent years,with the rapid increase in the number of GPS-enabled mobile devices,location-based services(LBS)applications grow explosively,such as finding the nearest gas station or restaurants within one kilometer and so on.Users benefit from convenience of LBS.However,many privacy issues draw people's attention gradually.Acomprehensive understanding of existing privacy protection work in the location-based services is important for researchers to grasp the present research status,the future development directionsand the challenges.We give a deep survey of the recent improvement in LBS,which mainly focus on existing attacking models,privacy protection model,measure model and datasets.What′s more,we classifies the existing attacking model and privacy protection model and made comparisons based on different features.Finally unsolved problems and future development are also discussed.