Bob-tree: an efficient B+-tree based index structure for geographic-aware obfuscation
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Cover locations: availing location-based services without revealing the location
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Indistinguishable regions in geographic privacy
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A trust-based noise injection strategy for privacy protection in cloud
Software—Practice & Experience
A Time-Series Pattern Based Noise Generation Strategy for Privacy Protection in Cloud Computing
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Uniform obfuscation for location privacy
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
Journal of Systems Architecture: the EUROMICRO Journal
Middleware for location privacy: an overview
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Semantic Bob-tree: a new obfuscation technique for location privacy protection
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Techniques to protect privacy against inference attacks in location based services
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Semantic-Aware obfuscation for location privacy at database level
ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
Providing Users’ Anonymity in Mobile Hybrid Networks
ACM Transactions on Internet Technology (TOIT)
Secured obfuscated queries in spatial networks
International Journal of Wireless and Mobile Computing
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Anonymizing continuous queries with delay-tolerant mix-zones over road networks
Distributed and Parallel Databases
Hi-index | 0.00 |
The pervasive diffusion of mobile communication devices and the technical improvements of location techniques are fostering the development of new applications that use the physical position of users to offer location-based services for business, social, or informational purposes. In such a context, privacy concerns are increasing and call for sophisticated solutions able to guarantee different levels of location privacy to the users. In this paper, we address this problem and present a solution based on different obfuscation operators that, when used individually or in combination, protect the privacy of the location information of users. We also introduce an adversary model and provide an analysis of the proposed obfuscation operators to evaluate their robustness against adversaries aiming to reverse the obfuscation effects to retrieve a location that better approximates the location of the users. Finally, we present some experimental results that validate our solution.