A Framework for Generating Network-Based Moving Objects
Geoinformatica
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
A Privacy Awareness System for Ubiquitous Computing Environments
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Location Based Services
Location-based Services: Fundamentals and Operation
Location-based Services: Fundamentals and Operation
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
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
IEEE Transactions on Mobile Computing
Privacy-Preserving Data Mining on Moving Object Trajectories
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
Privacy in Location-Based Services: State-of-the-Art and Research Directions
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
Protecting privacy against location-based personal identification
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
A Privacy Preserving Method Using Privacy Enhancing Techniques for Location Based Services
Mobile Networks and Applications
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Along with the rapid development of mobile devices having embedded positioning technology, location-based services have become more and more popular. In order to use the services, users often disclose some parts of their private information, especially their location-related information. Thus, it raises a great concern in the users' privacy preserving in location-based services. This paper proposes a solution with a memorizing algorithm working on a trusted middleware. With the proposed solution, the space is organized in a flexible grid and the middleware cloaks the user's location information in an anonymization area before sending it to the service providers. A concerned problem is that overlapped areas among anonymization areas can be used to explore the true position of a user because the overlapped areas have a higher probability of having a user. Our newly introduced memorizing algorithm calculates on the spatial grid to decrease the overlapped areas as much as possible. The solution aims at protecting the user's privacy not only at the time using the service but also against data mining techniques wrt. their history location data. Experimental results with synthesis moving objects over real world maps will establish our theoretical analyses as well as the practical value of the proposed solution.