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    TPPR: A Trust-Based and Privacy-Preserving Platoon Recommendation Scheme in VANET

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    Date
    2022-01-01
    Author
    Zhang, Chuan
    Zhu, Liehuang
    Xu, Chang
    Sharif, Kashif
    Ding, Kai
    Liu, Ximeng
    Du, Xiaojiang
    Guizani, Mohsen
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    Abstract
    Vehicle platoon, a novel vehicle driving paradigm that organizes a group of vehicles in the nose-to-tail structure, has been considered as a potential solution to reduce traffic congestion and increase travel comfort. In such a platoon system, head vehicles' performances are usually evaluated by user vehicles' feedbacks. Selection of an appropriate and reliable head vehicle while not disclosing user vehicles' privacy has become an interesting problem. In this article, we present a trust-based and privacy-preserving platoon recommendation scheme, called TPPR, to enable potential user vehicles to avoid selecting the malicious head vehicles. The basic concept of TPPR is that each user vehicle holds a trust value, and the reputation score of the head vehicle is calculated via a truth discovery process. To preserve vehicles' privacy, pseudonyms and Paillier cryptosystem are applied. In addition, novel authentication protocols are designed to ensure that only the valid vehicles (i.e., the vehicles holding the truthful trust values and joining the vehicle platoon) can pass the authentication. A comprehensive security analysis is conducted to prove that the proposed TPPR scheme is secure against several sophisticated attacks in vehicular ad hoc networks. Moreover, extensive simulations are conducted to demonstrate the correctness and effectiveness of the proposed scheme.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077265027&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/TSC.2019.2961992
    http://hdl.handle.net/10576/35492
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    • Computer Science & Engineering [‎2428‎ items ]

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