NDLI: FINE: A fine-grained privacy-preserving location-based service framework for mobile devices

Content Provider	IEEE Xplore Digital Library
Author	Jun Shao Rongxing Lu Xiaodong Lin
Copyright Year	2014
Description	Author affiliation: Nanyang Technol. Univ., Singapore, Singapore (Rongxing Lu) \|\| Zhejiang Gongshang Univ., Hangzhou, China (Jun Shao) \|\| Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada (Xiaodong Lin)
Abstract	In this paper, we propose a fine-grained privacy-preserving location-based service (LBS) framework, called FINE, for mobile devices. It adopts the data-as-a-service (DaaS) model, where the LBS provider publishes its data to a third party (e.g., cloud server) who executes users' LBS queries. The proposed FINE framework employs a ciphertext-policy anonymous attribute-based encryption technique to achieve fine-grained access control, location privacy, confidentiality of the LBS data and its access policy, and accurate LBS query result while without involving any trusted third party. Moreover, the proposed FINE framework also integrates the transformation key and proxy re-encryption to migrate most of computation-intensive tasks from the LBS provider and users to the cloud server. This property keeps mobile devices away from massive resource-consuming operations. Extensive analysis shows that our proposed FINE framework is secure and highly efficient for mobile devices in terms of computation and communication cost.
Starting Page	244
Ending Page	252
File Size	357572
Page Count	9
File Format	PDF
ISBN	9781479933600
DOI	10.1109/INFOCOM.2014.6847945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Mobile handsets Encryption Mobile radio mobility management Access control
Content Type	Text
Resource Type	Article

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