Abstract
The expanding use of location-Based services has profound implications on the privacy of personal information. in this paper, we propose a framework for preserving location privacy based on the idea of sending to the service provider suitably modified location information. Agents execute data transformation, and the service provider directly processes the transformed dataset. Our technique not only prevents the service provider from knowing the exact locations of users, but also protects information about user movements and locations from being disclosed to other users who are not authorized to access this information. We also define a privacy model to analyze our framework and examine our approach experimentally. Copyright 2008 ACM.
Recommended Citation
D. Lin et al., "Position Transformation: A Location Privacy Protection Method for Moving Objects," Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS, SPRINGL'08, pp. 62 - 71, Association for Computing Machinery (ACM), Dec 2008.
The definitive version is available at https://doi.org/10.1145/1503402.1503414
Department(s)
Computer Science
Keywords and Phrases
Location privacy; Moving objects
International Standard Book Number (ISBN)
978-160558324-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Association for Computing Machinery, All rights reserved.
Publication Date
01 Dec 2008
