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Title: Location privacy-preserving mobile crowd sensing with anonymous reputation
Authors: Yi, Xun
Lam, Kwok-Yan
Bertino, Elisa
Rao, Fang-Yu
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Yi, X., Lam, K.-Y., Bertino, E., & Rao, F.-Y. (2019). Location privacy-preserving mobile crowd sensing with anonymous reputation. Computer Security – ESORICS 2019, 387-411. doi:10.1007/978-3-030-29962-0_19
Abstract: In this paper, we give a location privacy-preserving solution for the mobile crowd sensing (MCS) system. The solution makes use of the blind signature technique for anonymous authentication and allows a mobile user to participate in the MCS for certain times set in the registration. Furthermore, we introduce a concept of anonymous reputation for mobile users on the basis of the blind signature technique as well. An anonymous reputation can be referred by the MCS platform when assigning tasks to a mobile user and can be upgraded or downgraded by the MCS platform, depending on the quality of reports submitted by the mobile user. For the security analysis, we provide security proofs for our solution on the basis of our formal definitions for anonymity, unlinkability and unforgeability for MCS. The performance analysis and experiments have shown that our solution is more efficient than existing solutions for MCS based on the blind signature technique.
ISBN: 9783030299613
DOI: 10.1007/978-3-030-29962-0_19
Rights: © 2019 Springer Nature Switzerland AG. All rights reserved. This paper was published in Computer Security – ESORICS 2019 and is made available with permission of Springer Nature Switzerland AG.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:RTP Conference Papers

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