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Sensors 2016, 16(12), 1993;

Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data

School of Computer Science and Technology, Anhui University, Hefei 230601, China
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China
This paper is an extended version of our paper published in Xie, Q.Q.; Wang, L.M. Efficient Privacy-Preserving Processing Scheme for Location-Based Queries in Mobile Cloud. In Proceedings of the IEEE DSC, Changsha, China, 13–16 June 2016 (Accepted).
Current address: Economic and Technology Development Zone, 111 Jiulong Road, Hefei 230601, China.
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 9 August 2016 / Revised: 23 October 2016 / Accepted: 22 November 2016 / Published: 25 November 2016
(This article belongs to the Special Issue Big Data and Cloud Computing for Sensor Networks)
Full-Text   |   PDF [556 KB, uploaded 25 November 2016]   |  


With the wide use of mobile sensing application, more and more location-embedded data are collected and stored in mobile clouds, such as iCloud, Samsung cloud, etc. Using these data, the cloud service provider (CSP) can provide location-based service (LBS) for users. However, the mobile cloud is untrustworthy. The privacy concerns force the sensitive locations to be stored on the mobile cloud in an encrypted form. However, this brings a great challenge to utilize these data to provide efficient LBS. To solve this problem, we propose a privacy-preserving LBS scheme for mobile sensing data, based on the RSA (for Rivest, Shamir and Adleman) algorithm and ciphertext policy attribute-based encryption (CP-ABE) scheme. The mobile cloud can perform location distance computing and comparison efficiently for authorized users, without location privacy leakage. In the end, theoretical security analysis and experimental evaluation demonstrate that our scheme is secure against the chosen plaintext attack (CPA) and efficient enough for practical applications in terms of user side computation overhead. View Full-Text
Keywords: mobile sensing; mobile cloud; location-based service; privacy preservation mobile sensing; mobile cloud; location-based service; privacy preservation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Xie, Q.; Wang, L. Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data. Sensors 2016, 16, 1993.

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