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CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

IEEE Transactions on Intelligent Transportation Systems · 2018 · Vol. 19(7) · pp. 2204–2220
Lun LiJiqiang LiuLichen ChengShuo QiuWei WangXiangliang ZhangZonghua Zhang

Abstract

The vehicular announcement network is one of the most promising utilities in the communications of smart vehicles and in the smart transportation systems. In general, there are two major issues in building an effective vehicular announcement network. First, it is difficult to forward reliable announcements without revealing users' identities. Second, users usually lack the motivation to forward announcements. In this paper, we endeavor to resolve these two issues through proposing an effective announcement network called CreditCoin, a novel privacy-preserving incentive announcement network based on Blockchain via an efficient anonymous vehicular announcement aggregation protocol. On the one hand, CreditCoin allows nondeterministic different signers (i.e., users) to generate the signatures and to send announcements anonymously in the nonfully trusted environment. On the other hand, with Blockchain, CreditCoin motivates users with incentives to share traffic information. In addition, transactions and account information in CreditCoin are tamper-resistant. CreditCoin also achieves conditional privacy since Trace manager in CreditCoin traces malicious users' identities in anonymous announcements with related transactions. CreditCoin thus is able to motivate users to forward announcements anonymously and reliably. Extensive experimental results show that CreditCoin is efficient and practical in simulations of smart transportation.

Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in DataComputer securityIncentiveBlockchainComputer scienceAnonymityNondeterministic algorithmTRACE (psycholinguistics)Smart contractProtocol (science)Computer network

Funding

  • National Natural Science Foundation of China
  • Fundamental Research Funds for the Central Universities
Citations
559
FWCI
39.40
field-weighted impact
References
52
Percentile
100%
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Citations per year
References
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IEEE Transactions on Intelligent Transportation Systems · 2017 · 469 citations
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