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Nonexposure Accurate Location K -Anonymity Algorithm in LBS
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper tackles location privacy protection in current location-based services (LBS) where mobile users have to report their exact location information to an LBS provider in order to obtain their desired services.
Location cloaking has been proposed and well studied to protect user privacy.
It blurs the user’s accurate coordinate and replaces it with a well-shaped cloaked region.
However, to obtain such an anonymous spatial region (ASR), nearly all existent cloaking algorithms require knowing the accurate locations of all users.
Therefore, location cloaking without exposing the user’s accurate location to any party is urgently needed.
In this paper, we present such two nonexposure accurate location cloaking algorithms.
They are designed for K -anonymity, and cloaking is performed based on the identifications (IDs) of the grid areas which were reported by all the users, instead of directly on their accurate coordinates.
Experimental results show that our algorithms are more secure than the existent cloaking algorithms, need not have all the users reporting their locations all the time, and can generate smaller ASR.
American Psychological Association (APA)
Jia, Jinying& Zhang, Fengli. 2014. Nonexposure Accurate Location K -Anonymity Algorithm in LBS. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050367
Modern Language Association (MLA)
Jia, Jinying& Zhang, Fengli. Nonexposure Accurate Location K -Anonymity Algorithm in LBS. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050367
American Medical Association (AMA)
Jia, Jinying& Zhang, Fengli. Nonexposure Accurate Location K -Anonymity Algorithm in LBS. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050367
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050367