Privacy-Preserving Location-based Data Access in Mobile Environments*
Recent advances in wireless communications and location positioning technologies
have made possible the provision of location based services (LBS) to mobile users.
With a location-aware wireless device, a mobile user is able to query his/her
surroundings (e.g., finding the nearest gas station or all shopping centers within 5
miles) at any place, anytime. While this ubiquitous computing paradigm brings great
convenience for information access, it raises a concern of potential intrusion of
user's location privacy, which has hampered the widespread use of LBS. This
proposed project attempts to support location-based data access with protection of
location privacy. We propose a novel client-based framework for answering privacypreserving
location-based queries based on a location cloaking technique. We
identify the key issues arising in the proposed framework and study the location
cloaking, query evaluation, and result refinement algorithms for various locationbased
queries. Furthermore, we propose a privacy-preserving caching scheme that
naturally fits into the proposed framework in order to improve data access
efficiency. In contrast to conventional caching schemes that only cache a portion of
dataset, the proposed caching scheme maintains a global view of the whole dataset,
which facilitates local processing of location-based qeuries and achieves privacy
protection. Various cache design issues including space management, replacement,
and consistency will be investigated in this project.
- H. Hu, J. Xu, S. T. On, J. Du, and J. K. Ng. "Privacy-Aware
Location Data Publishing." ACM Transactions on Database Systems (TODS), 35(3), July 2010. [pdf]
- H. Hu and J. Xu. "2PASS: Bandwidth-Optimized Location
Cloaking for Anonymous Location-Based Services." IEEE Transactions on Parallel and Distributed Systems (TPDS), 21(10): 1458-1472, October 2010.
H. Hu, J. Xu, and D. L. Lee.
"PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects."
IEEE Transactions on Knowledge and Data Engineering (TKDE), 22(3): 404-419, March 2010.
J. Xu, X. Tang, H. Hu, and J. Du.
"Privacy-Conscious Location-Based Queries in Mobile Environments."
IEEE Transactions on Parallel and Distributed Systems (TPDS), 21(3): 313-326, March 2010.
X. Pan, X. Meng, and J. Xu.
"Distortion-based Anonymity for Continuous Queries in Location-Based Mobile Serv
Proc. the 17th ACM SIGSPATIAL Int'l Conference on Advances in Geographic Info
rmation Systems (ACM GIS '09), Seattle, USA, November 2009.
H. Hu and J. Xu.
"Non-Exposure Location Anonymity."
Proc. IEEE 25th International Conference on Data Engineering (ICDE '09), Shanghai, China, March 2009.
X. Pan, J. Xu, and X. Meng.
"Protecting Location Privacy against Location-dependent Attack in Mobile Services."
Proc. ACM 17th Conference on Information and Knowledge Management (CIKM '08),
Napa Valley, CA, USA, October 2008. (poster paper)
J. Du, J. Xu, X. Tang, and H. Hu.
"iPDA: Supporting Privacy-Preserving Location-Based Mobile Services."
Proc. the 8th Int. Conf. on Mobile Data Management (MDM '07),
Mannheim, Germany, May 2007. (Demo)
Z. Xiao, X. Meng, and J. Xu.
"Quality-Aware Privacy Protection for Location-Based Services."
Proc. the 12th Int. Conf. on Database Systems for Advanced Applications
(DASFAA '07), Bangkok, Thailand, April 2007.
C. K. Lee, W.-C. Lee, B. Zheng, and J. Xu.
"Caching Complementary Space for Location-Based Services."
Proc. the 10th International Conference on Extending Database
Technology (EDBT '06), Munich, Germany, March 2006.
* This project is supported by the
Research Grants Council (RGC), Hong Kong SAR, China under Project No. HKBU211206.
For further information, please contact Jianliang Xu.