This dissertation addresses issues related to privacy protection in Location-based Services (LBS). LBS has become an immensely valuable source of real-time information and guidance. Nonetheless, the potential abuse of users’ sensitive personal data by an LBS server itself is evolving into a serious concern. Privacy concerns in LBS exist on two fronts, namely (i) Location Privacy, i.e. protection of location information and (ii) Query Privacy, i.e. protection of service attribute(s). Although distinct, location privacy and query privacy are very closely related, which results in even greater challenges to privacy protection.
Most existing research in this field either requires a trusted third-party (anonymizer) or uses oblivious protocols that are computationally and communication-wise expensive. The design of privacy-preserving techniques described in this dissertation is principled on not requiring a trusted third-party, i.e. they are completely client-centric, while being highly efficient in terms of time and space complexities.
In particular, this dissertation introduces four client-centric privacy protection systems to address four different types of privacy concerns, respectively: (i)
|Commitee:||Cheng, Xiuzhen, Choi, Hyeong-Ah, Fu, Xinwen, Youssef, Abdou|
|School:||The George Washington University|
|School Location:||United States -- District of Columbia|
|Source:||DAI-B 72/12, Dissertation Abstracts International|
|Keywords:||Location based services, Location privacy, Privacy protection, Query privacy, User centric|
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