Paper Info
Title
Achieving Privacy-Preserving and Verifiable Data Sharing in Vehicular Fog With Blockchain
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.
Year
DOI
Venue
2021
10.1109/TITS.2020.2983466
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Location privacy-preservation,permissioned blockchain,verifiability,vehicular sensing
Journal
22
Issue
ISSN
Citations 
8
1524-9050
3
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Qinglei Kong151.73
Le Su2172.61
Maode Ma31255163.24