Loading...

Enhancing Privacy in Location-Based Services

Najafi, Sina | 2015

373 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47968 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Jalili, Rasool
  7. Abstract:
  8. Mobile localization development, is the reason for appearance of location-based services (LBS). Be sure of not disclosing the user personal information is the main challenge in LBS. Many different concepts and approaches for the protection of location privacy have been described in the literature which change the query of user to server. These approaches falling roughly into two main categories: centralized and distributed (user-centric). Centralized category includes approaches like “changing query pattern” using encryption on user device, or using an “anonymizer trusted third party”. In such approaches threat of an untrustworthy LBS server is addressed by the introduction of a new third-party server. Distributed approaches typically aim to blur the location information by, for example, “obfuscate” the user coordination, or generate “Dummy” queries and submit them to LBS server. Having inaccurate response from the LBS server is the main challenge in distributed approaches. Recent approaches improve the privacy by using the benefits of combining the approaches, user collaboration and sharing information among users. In newly approaches problem of hiding user identity in sparse places, and restriction of computation and battery energy of mobile devices are the biggest challenge. In this thesis we provide unlimited collaborative cloaking as a solution to solve explained challenges. Accordingly, we introduce a peer-to-pear approach without a trusted third party. We generate dummy queries, based on real queries, to anonymize user in sparse places. Based on our research, the best way to solve energy, computation and storage problem is take advantages of personal data vault structure. Our proposed framework does not need to change current LBS provider architecture. Since our approach uses historical queries of users, mitigates requests to LBS server during the time
  9. Keywords:
  10. Privacy ; Anonymity ; Location-Based Services ; Unlimited Collaborative Cloakin

 Digital Object List

 Bookmark

No TOC