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Title: Achieving privacy-preserving and verifiable data sharing in vehicular fog with blockchain
Authors: Kong, Qinglei
Su, Le
Ma, Maode
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Kong, Q., Su, L. & Ma, M. (2020). Achieving privacy-preserving and verifiable data sharing in vehicular fog with blockchain. IEEE Transactions On Intelligent Transportation Systems, 22(8), 4889-4898.
Journal: IEEE Transactions on Intelligent Transportation Systems
Abstract: Vehicular sensing is advocated to perform data collection by exploiting a plethora of vehicular on-board sensors; meanwhile, with the merging of vehicular sensing and fog computing, the deployed road side units (RSUs) can act as fog nodes to collect and share vehicular sensory data at the network edge. However, there are still several problems in terms of the secure and reliable sharing of sensory data in vehicular fog. To resolve these issues, in this paper, we present an efficient, privacy-preserving and verifiable sensory data collection and sharing scheme with a permissioned blockchain in vehicular fog. During the data collection phase, by combining the homomorphic 2-DNF (Disjunctive Normal Form) cryptosystem and an identity-based signcryption scheme, our proposed scheme achieves the secure and verifiable computation of the average and variance of the collected vehicular sensory data. Meanwhile, to achieve efficient and reliable data sharing, we exploit a permissioned blockchain to maintain an immutable and tamper-proof record of the derived sensory data. Security analysis demonstrates the security properties of the proposed scheme, in terms of location privacy preservation, verifiability and immutability. Performance evaluations are conducted to validate the efficiency of the proposed scheme, i.e., improvements in computation and communication efficiency in comparison with a scheme without exploiting blockchain.
ISSN: 1524-9050
DOI: 10.1109/TITS.2020.2983466
Schools: School of Electrical and Electronic Engineering 
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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