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

Chuan Zhang, Liehuang Zhu, Chang Xu, Kashif Sharif, Kai Ding, Ximeng Liu, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

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.

Original languageEnglish
Pages (from-to)806-818
Number of pages13
JournalIEEE Transactions on Services Computing
Volume15
Issue number2
DOIs
StatePublished - 2022

Keywords

  • Vehicle platoon
  • privacy-preserving
  • recommendation
  • trust

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