NDLI: A cloaking-based approach to protect location privacy in location-based services

Content Provider	IEEE Xplore Digital Library
Author	Zheng Jiangyu Tan Xiaobin Cliff, Z. Niu Yukun Zhu Jin
Copyright Year	2014
Description	Author affiliation: CAS Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Univ. of Sci. & Technol. of China, Hefei, China (Zheng Jiangyu; Tan Xiaobin; Niu Yukun; Zhu Jin) \|\| Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA (Cliff, Z.)
Abstract	With the widespread use of mobile devices, the location-based service (LBS) applications become increasingly popular, which introduces the new security challenge to protect user's location privacy. On one hand, a user expects to report his own location as far as possible away from his real location to protect his location privacy. On the other hand, in order to obtain high quality of service (QoS), users are required to report their locations as accurate as possible. To achieve the dedicated tradeoff between privacy requirement and QoS requirement, we propose a novel approach based on cloaking technique. We also discuss the disadvantage of the traditional general system model and propose an improved model. The basic idea of our approach is to select a sub-area from the generated cloaking area as user's reported location. The sub-area may not contain a user's real location, which prevents an adversary from performing attack with side information. Specifically, by defining an objective function with a novel location privacy metric and a QoS metric, we are able to convert the privacy issue to an optimization problem. Then, location privacy metric and QoS metric are given. To reduce the complexity of the optimization, a heuristic algorithm is proposed. Through privacy-preserving analysis and comparison with related work [8], we demonstrate the effectiveness and efficiency of our approach.
Starting Page	5459
Ending Page	5464
File Size	192269
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895872
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Measurement Privacy Location-based Services Heuristic algorithms Quality of service Cloaking Area Complexity theory Location Privacy Servers Optimization k-anonymity
Content Type	Text
Resource Type	Article

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