JOURNAL ARTICLE

A lightweight privacy-preserving protocol using chameleon hashing for secure vehicular communications

Abstract

Many services and applications in vehicular ad-hoc networks (VANETs) require preserving and secure data communications. To improve driving safety and comfort, the traffic-related status information will be broadcasted regularly and shared among drivers. Without the security and privacy guarantee, attackers could track their interested vehicles by collecting and analyzing their traffic messages. Hence, anonymous message authentication is an essential requirement of VANETs. On the other hand, when a vehicle is involved in a dispute event of warning message, the certificate authority should be able to recover the real identity of this vehicle. To deal with this issue, we propose a new privacy-preserving authentication protocol with authority traceability using elliptic curve based chameleon hashing. Compared with existing schemes, our approach possesses the following features: (1) mutual and anonymous authentication, (2) unlinkability, (3) authority tracking capability and (4) high efficiency. We also demonstrate the merits of our proposed scheme through extensive security analysis and performance evaluation. © 2012 IEEE.

Keywords:
Computer science Computer security Authentication (law) Vehicular ad hoc network Computer network Hash function Authentication protocol Certificate Password Protocol (science) Mutual authentication Traceability Message authentication code Wireless ad hoc network Cryptography Wireless Telecommunications

Metrics

31
Cited By
1.97
FWCI (Field Weighted Citation Impact)
12
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicular Ad Hoc Networks (VANETs)
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Authentication Protocols Security
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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