A secure cloud-assisted certificateless group authentication scheme for VANETs in big data environment

Haowen Tan, Ilyong Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Nowadays, the construction of efficient intelligent transportation system (ITS) has become a new trend for metropolitan cities with increasingly large populations. As one of the most significant component of ITS, the vehicular ad hoc networks (VANETs) are capable of building temporary vehicular sensor networks for efficient and dynamic information exchange between vehicles and road side units (RSUs). As a matter of fact, the traditional VANETs have limited computing and storing capabilities, which restrict the rapid development VANETs services provided to the drivers. Hence, with the rapid development of big data facilities, the cloud-assisted VANETs structure is proposed in order to enhance the capabilities of VANETs. In addition, due to the inherent wireless communication characteristics, data transmissions of VANETs suffer from charted and uncharted security risks and attacks. Thus proper security strategies should be adopted to guarantee secure communication and driver privacy. Emphasizing on the above issues, we develop an efficient cloud-assisted certificateless grouping authentication scheme for VANETs. In our design, vehicle anonymity is provided during the entire communication process. Note that most of the current authenticating schemes assume the secure channel between the RSU and vehicles in order for initial key message transmission, which is not necessary in our scheme.

Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference on Big Data Engineering, BDE 2019
PublisherAssociation for Computing Machinery
Pages107-113
Number of pages7
ISBN (Electronic)9781450360913
DOIs
Publication statusPublished - Jun 11 2019
Externally publishedYes
Event2019 International Conference on Big Data Engineering, BDE 2019 - Hong Kong, Hong Kong
Duration: Jun 11 2019Jun 13 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 International Conference on Big Data Engineering, BDE 2019
CountryHong Kong
CityHong Kong
Period6/11/196/13/19

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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