A Secure and Efficient Privacy-Preserving Authentication Scheme for Vehicular Networks with Batch Verification Using Cuckoo Filter

Kang Li, Wang Fat Lau, Man Ho Au

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

The wireless nature of vehicular networks causes serious security and privacy issues that need to be addressed. To satisfy the security and privacy requirements in vehicular networks, a number of certificateless signature based authentication schemes have been proposed as it not only avoid certificate management issue in PKI-based solutions but also solves the key escrow problem in solutions that depends on ID-based signatures. However, many schemes are inefficient due to the use of computationally intensive bilinear pairing operation and map-to-point hash function. To further improve efficiency, schemes supporting batch verification is highly desirable. In this paper, based on a pairing-free online/offline certificateless signature scheme, we propose a secure and efficient privacy-preserving authentication scheme for vehicular networks by specifically improving the batch verification efficiency using cuckoo filter. The signature scheme does not use the expensive pairing operations or map-to-point hash functions, thus has a higher computation efficiency. More importantly, by using the cuckoo filters, the roadside units can generate a notification message for vehicles about the validity of the signatures in the batch verification to assist the message authentication of vehicles. Moreover, the binary search method is used in the batch verification process to avoid dropping the whole batch in case an invalid signature exists. Our proposed scheme is secure, efficient and it satisfies all the security and privacy requirements of vehicular networks.

Original languageEnglish
Title of host publicationNetwork and System Security - 13th International Conference, NSS 2019, Proceedings
EditorsJoseph K. Liu, Xinyi Huang
PublisherSpringer
Pages615-631
Number of pages17
ISBN (Print)9783030369378
DOIs
Publication statusPublished - 2019
Event13th International Conference on Network and System Security, NSS 2019 - Sapporo, Japan
Duration: 15 Dec 201918 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11928 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Network and System Security, NSS 2019
Country/TerritoryJapan
CitySapporo
Period15/12/1918/12/19

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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