Location-based Services: Fundamentals and Operation
Location-based Services: Fundamentals and Operation
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
IEEE Transactions on Mobile Computing
The Bdual-Tree: indexing moving objects by space filling curves in the dual space
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy in Location-Based Services: State-of-the-Art and Research Directions
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
An Obfuscation-Based Approach for Protecting Location Privacy
IEEE Transactions on Dependable and Secure Computing
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
On guaranteeing k-anonymity in location databases
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
An open design privacy-enhancing platform supporting location-based applications
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
A novel trajectory privacy-preserving future time index structure in moving object databases
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
International Journal of Mobile Computing and Multimedia Communications
ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
A Hilbert-based framework for preserving privacy in location-based services
International Journal of Intelligent Information and Database Systems
ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
| Hi-index | 0.00 |
Although many techniques have been proposed to deal with location privacy problem, which is one of popular research issues in location based services, some limitations still remain and hence they cannot be applied to the real world. One of the most typical proposed techniques is obfuscation that preserves location privacy by degrading the quality of user's location information. But the less exact information, the more secure and the less effective services can be supported. Thus the goal of obfuscated techniques is balancing between privacy and quality of services. However, most of obfuscated techniques are separated from database level, leading to other security and performance issues. In this paper, we introduce a new approach to protect location privacy at database level, called Semantic Bob-tree, an index structure that is based on Bdual-tree and Bob-tree and contains semantic aware information in its nodes. It can achieve high level of privacy and keep up the quality of services.