A classification of location privacy attacks and approaches

摘要: In recent years, location-based services have become very popular, mainly driven by the availability of modern mobile devices with integrated position sensors. Prominent examples are points interest finders or geo-social networks such as Facebook Places, Qype, and Loopt. However, providing private user positions may raise serious privacy concerns if these not protected adequately. Therefore, location concepts mandatory to ensure user's acceptance services. Many different approaches for protection been described in literature. These differ respect information their effectiveness against attacks. The goal this paper is assess applicability systematically. We first identify goals, namely personal (user identity), spatial position), temporal (identity/position + time). Secondly, we give an overview basic principles existing protect goals. a third step, classify possible Finally, analyze goals ability resist introduced