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An Efficient Privacy-Preserving Batch Authentication Scheme in Fog-Enabled VANETs

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Listed:
  • Cong Zhao

    (Department of College of Artificial Intelligence and Henan Province Intelligent Emergency Service and Support Engineering Research Center, Nanyang Normal University, Nanyang 473061, China)

  • Xuan Ge

    (Department of College of Artificial Intelligence, Nanyang Normal University, Nanyang 473061, China)

  • Yikang Yang

    (Department of College of Artificial Intelligence, Nanyang Normal University, Nanyang 473061, China)

  • Qinglei Qi

    (Department of College of Artificial Intelligence and Henan Province Intelligent Emergency Service and Support Engineering Research Center, Nanyang Normal University, Nanyang 473061, China)

  • He Li

    (Department of College of Artificial Intelligence and Henan Province Intelligent Emergency Service and Support Engineering Research Center, Nanyang Normal University, Nanyang 473061, China)

Abstract

Vehicular ad hoc networks (VANETs), as a key communication component of the Internet of Vehicles (IoV), enable vehicles and roadside infrastructure to exchange information efficiently, thereby supporting road safety and traffic management. However, because these communications take place over open wireless channels, VANETs are exposed to message forgery, replay, identity disclosure, and unauthorised access by revoked vehicles. To address these issues, this paper proposes EPAF, an efficient privacy-preserving batch authentication scheme with revocation support for fog-enabled VANETs. EPAF uses roadside fog nodes to distribute update keys and report information related to misbehaving vehicles, thereby reducing reliance on remote centralised processing. Rather than assuming ideal tamper-proof devices that store system-wide secrets, EPAF requires protected storage only for vehicle-local certificates, limiting the impact of compromising an individual vehicle device. The scheme employs batch verification to authenticate multiple messages from different vehicles in a single procedure, reducing verification overhead in message-intensive traffic conditions. It further introduces an update-key mechanism through which legitimate vehicles obtain current authentication keys, whereas revoked vehicles are prevented from generating valid authentication messages in subsequent revocation periods. Under the honest-authority model, the security analysis establishes the EUF-CMA security of an authentication packet in the random-oracle model and separately addresses conditional identity privacy, traceability, and unlinkability across different pseudonym periods. Performance evaluation examines the trade-off among authentication efficiency, communication overhead, and revocation performance, showing that EPAF is a practical solution for fog-enabled vehicular communication.

Suggested Citation

  • Cong Zhao & Xuan Ge & Yikang Yang & Qinglei Qi & He Li, 2026. "An Efficient Privacy-Preserving Batch Authentication Scheme in Fog-Enabled VANETs," Future Internet, MDPI, vol. 18(8), pages 1-28, July.
  • Handle: RePEc:gam:jftint:v:18:y:2026:i:8:p:404-:d:2003772
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