dc.contributor.authorKong, Qinglei
dc.contributor.authorLu, Rongxing
dc.contributor.authorMa, Maode
dc.contributor.authorBao, Haiyong
dc.identifier.citationKong, Q., Lu, R., Ma, M., & Bao, H. (2017). Achieve Location Privacy-Preserving Range Query in Vehicular Sensing. Sensors, 17(8), 1829-.en_US
dc.description.abstractModern vehicles are equipped with a plethora of on-board sensors and large on-board storage, which enables them to gather and store various local-relevant data. However, the wide application of vehicular sensing has its own challenges, among which location-privacy preservation and data query accuracy are two critical problems. In this paper, we propose a novel range query scheme, which helps the data requester to accurately retrieve the sensed data from the distributive on-board storage in vehicular ad hoc networks (VANETs) with location privacy preservation. The proposed scheme exploits structured scalars to denote the locations of data requesters and vehicles, and achieves the privacy-preserving location matching with the homomorphic Paillier cryptosystem technique. Detailed security analysis shows that the proposed range query scheme can successfully preserve the location privacy of the involved data requesters and vehicles, and protect the confidentiality of the sensed data. In addition, performance evaluations are conducted to show the efficiency of the proposed scheme, in terms of computation delay and communication overhead. Specifically, the computation delay and communication overhead are not dependent on the length of the scalar, and they are only proportional to the number of vehicles.en_US
dc.format.extent16 p.en_US
dc.rights© 2017 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectRange Queryen_US
dc.subjectLocation Privacy Preservationen_US
dc.titleAchieve Location Privacy-Preserving Range Query in Vehicular Sensingen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionPublished versionen_US

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