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    A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud

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    Date
    2020-06-01
    Author
    Liu, Jingwei
    Zhang, Gaojian
    Sun, Rong
    Du, Xiaojiang
    Guizani, Mohsen
    Metadata
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    Abstract
    As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is playing an important role in the field of intelligent transportation. In such a system, vehicles are allowed to collect ambient sensing data and communicate with other vehicles, roadside infrastructure, cloud server, even personal mobile smart devices in order to exchange the relevant traffic information that usually includes the owners' sensitive information, such as geographical location or personally identifiable information. However, in open network environment, different wireless communication technologies make all these information vulnerable to various attacks and compromises. The users' private information is put at the risk of leaking at any time. To address this issue, a blockchain-based privacy-preserving traffic data sharing protocol with cloud storage is proposed based on a novel heterogeneous signcryption scheme between Public Key Infrastructure (PKI) and Certificateless Cryptosystem (CLC). Through theoretical and simulation analysis in terms of security, complexity and time consumption, the proposed traffic data sharing protocol is proved to meet the security requirements of data tamper-proofing, anonymity and traceability with higher efficiency.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089424159&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/ICC40277.2020.9148864
    http://hdl.handle.net/10576/36944
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

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