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AuthorSun, Gang
AuthorSun, Siyu
AuthorYu, Hongfang
AuthorGuizani, Mohsen
Available date2022-12-12T14:57:19Z
Publication Date2020-05-01
Publication NameIEEE Internet of Things Journal
Identifierhttp://dx.doi.org/10.1109/JIOT.2019.2951410
CitationSun, G., Sun, S., Yu, H., & Guizani, M. (2019). Toward incentivizing fog-based privacy-preserving mobile crowdsensing in the Internet of Vehicles. IEEE Internet of Things Journal, 7(5), 4128-4142.‏
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084913777&origin=inward
URIhttp://hdl.handle.net/10576/37217
AbstractIn the face of a massive number of vehicular users, a data collection paradigm based on vehicular crowdsensing requires an effective means of attracting participants. Thus, the incentive mechanisms play a key role in crowdsensing procedure design, inevitably leading to problems related to user privacy leakage. In this article, to reduce the risk of privacy leakage in the implementation of incentive mechanisms, we propose a fog computing-based crowdsensing architecture specialized for vehicular crowdsensing and corresponding privacy-preserving solutions for the processes of data reporting, reward issuing, and trust management. Authentication and encryption technologies, such as zero-knowledge verification, one-way hashing, partially blind signature authentication, and homomorphic encryption, are utilized to achieve our goals. Finally, efficiency improvements in both privacy preservation and network response are proven through analysis and simulations.
SponsorThis work was supported in part by the National Natural Science Foundation of China under Grant 61571098, in part by the Sichuan Science and Technology Program under Grant 2019YGF0206, and in part by the 111 Project under Grant B14039.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCrowdsensing
data aggregation
fog computing
Internet of Vehicles (IoV)
privacy preservation
TitleToward Incentivizing Fog-Based Privacy-Preserving Mobile Crowdsensing in the Internet of Vehicles
TypeArticle
Pagination4128-4142
Issue Number5
Volume Number7
dc.accessType Abstract Only


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