arrow
Return

Privacy-Preserving Emergency Vehicle Authentication Scheme Using Zero-Knowledge Proofs and Blockchain

delete2026-04-21
delete0
delete
OA
AI
L
Li, Hanshi
O
Oza, Drishti
Y
Yoshida, Masami
T
Taku Noguchi *
DOI:10.3390/iot7020035delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Emergency vehicle authentication in vehicular ad hoc networks must satisfy strict latency, privacy, and trust constraints. Existing Public Key Infrastructure- and Conditional Privacy-Preserving Authentication-based schemes incur substantial overhead from certificate management and expensive per-hop verification, making them unsuitable for real-time emergency scenarios. We propose a lightweight zero-knowledge- and blockchain-assisted authentication scheme that eliminates certificates, pseudonym pools, and the requirement for online interaction with a trusted authority during the authentication phase. The Certificate Authority (CA) is involved only during offline initialization stages (vehicle enrollment and Merkle tree construction); once provisioning is complete, the runtime authentication process operates without any online CA interaction. Each emergency vehicle registers one-time hash commitments on-chain after proving membership in a category-specific Merkle tree, and authenticates messages by broadcasting a hash along with a zero-knowledge proof of preimage knowledge. Roadside units verify the proof and consult the on-chain state to enforce single-use semantics, creating a tamper-resistant audit trail. Evaluation using the Veins framework (OMNeT++/SUMO) demonstrated a constant 288-byte authenticated payload, millisecond-level end-to-end delay independent of hop count, and stable blockchain processing under sustained load.
Keywords:
vehicular ad hoc networks
emergency vehicle authentication
zero-knowledge proofs
privacy-preserving authentication
lightweight cryptography
blockchain-assisted verification
Merkle tree authorization
trustless multi-hop forwarding
roadside units

Journal

I
IoT
IF:
2.8
Papers:
61
Citations:
0

Organization

R
Ritsumeikan University
Scholars:
550
Papers: 276
Citations: 3.2K