Privacy of Spatial Trajectories

摘要: The ubiquity of mobile devices with global positioning functionality (e.g., GPS and Assisted GPS) Internet connectivity 3G Wi-Fi) has resulted in widespread development location-based services (LBS). Typical examples LBS include local business search, e-marketing, social networking, automotive traffic monitoring. Although provide valuable for users, revealing their private locations to potentially untrusted service providers pose privacy concerns. In general, there are two types LBS, namely, snapshot continuous LBS. For a user only needs report its current location provider once get desired information. On the other hand, periodic or on-demand manner obtain Protecting is more challenging than because adversaries may use spatial temporal correlations user's sequence samples infer information higher degree certainty. Such trajectories also very important many applications, e.g., analysis, city planning, intelligent transportation. However, publishing original public third party data analysis could serious Privacy protection trajectory publication increasingly drawn attention from research community industry. this chapter, we describe state-of-the-art privacy-preserving techniques publication.