A Hybrid Location Privacy Solution for Mobile LBS
Joint Authors
Gupta, Ruchika
Rao, Udai Pratap
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
The prevalent usage of location based services, where getting any service is solely based on the user’s current location, has raised an extreme concern over location privacy of the user.
Generalized approaches dealing with location privacy, referred to as cloaking and obfuscation, are mainly based on a trusted third party, in which all the data remain available at a central server and thus complete knowledge of the query exists at the central node.
This is the major limitation of such approaches; on the other hand, in trusted third-party-free framework clients collaborate with each other and freely communicate with the service provider without any third-party involvement.
Measuring and evaluating trust among peers is a crucial aspect in trusted third-party-free framework.
This paper exploits the merits and mitigating the shortcomings of both of these approaches.
We propose a hybrid solution, HYB, to achieve location privacy for the mobile users who use location services frequently.
The proposed HYB scheme is based on the collaborative preprocessing of location data and utilizes the benefits of homomorphic encryption technique.
Location privacy is achieved at two levels, namely, at the proximity level and at distant level.
The proposed HYB solution preserves the user’s location privacy effectively under specific, pull-based, sporadic query scenario.
American Psychological Association (APA)
Gupta, Ruchika& Rao, Udai Pratap. 2017. A Hybrid Location Privacy Solution for Mobile LBS. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1188949
Modern Language Association (MLA)
Gupta, Ruchika& Rao, Udai Pratap. A Hybrid Location Privacy Solution for Mobile LBS. Mobile Information Systems No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1188949
American Medical Association (AMA)
Gupta, Ruchika& Rao, Udai Pratap. A Hybrid Location Privacy Solution for Mobile LBS. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1188949
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188949