Concepts for personal location privacy policies
Proceedings of the 3rd ACM conference on Electronic Commerce
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
Location Privacy in Mobile Systems: A Personalized Anonymization Model
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Proceedings of the 6th international conference on Mobile data management
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
Access control to people location information
ACM Transactions on Information and System Security (TISSEC)
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
IEEE Transactions on Knowledge and Data Engineering
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Towards Achieving Personalized Privacy for Location-Based Services
Transactions on Data Privacy
Interactive Location Cloaking with the PROBE Obfuscator
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Preventing velocity-based linkage attacks in location-aware applications
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
The PROBE Framework for the Personalized Cloaking of Private Locations
Transactions on Data Privacy
Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS
Friendship-based location privacy in Mobile Social Networks
International Journal of Security and Networks
Map-Aware position sharing for location privacy in non-trusted systems
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Countering overlapping rectangle privacy attack for moving kNN queries
Information Systems
A classification of location privacy attacks and approaches
Personal and Ubiquitous Computing
| Hi-index | 0.00 |
The widespread adoption of location-based services (LBS) raises increasing concerns for the protection of personal location information. A common strategy, referred to as obfuscation, to protect location privacy is based on forwarding the LSB provider a coarse user location instead of the actual user location. Conventional approaches, based on such technique, are however based only on geometric methods and therefore are unable to assure privacy when the adversary is aware of the geographical context. This paper provides a comprehensive solution to this problem. Our solution presents a novel approach that obfuscates the user location by taking into account the geographical context and user's privacy preferences. We define several theoretical notions underlying our approach. We then propose a strategy for generating obfuscated spaces and an efficient algorithm which implements such a strategy. The paper includes several experimental results assessing performance, storage requirements and accuracy for the approach. The paper also discusses the system architecture and shows that the approach can be deployed also for clients running on small devices.