Privacy issues for vehicular Ad-hoc network

Hang Dok*, Ruben Echevarria, Huirong Fu

*Corresponding author for this work

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

4 Scopus citations

Abstract

Vehicular Ad-Hoc Networks are networks of communication between vehicles and roadside units. These networks have the potential to increase safety and provide many services to drivers, but they also present risks to privacy. Researching mechanisms to protect privacy requires two key ingredients: 1. a precise definition of privacy that reflects citizens' concerns and perceptions, and 2. an understanding of the type of attacks in VANETs. In this research, we formulate a workable definition of privacy, and focus on tracking attacks, which we found to be lacking. Although considerable research has been performed in tracking none of the published solutions ensures full protection. We propose to combine a set of published solutions, namely: Mix Zones, Silent Periods, and Group Signatures in order to improve the privacy of drivers. Vehicles enter a region where, vehicles change their pseudonyms (Mix Zone) as well as network addresses; next enter the silent period, and then use one group key for communication. It could help make tracking more difficult and increase the safety and confidence of drivers using VANETs.

Original languageEnglish (US)
Title of host publicationCommunication and Networking
Subtitle of host publicationInternational Conference, FGCN/ACN 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Pro
EditorsDominik Slezak, Tai-hoon Kim, Alan Chin-Chen Chang, Thanos Vasilakos, MingChu Li, Kouichi Sakurai
Pages370-383
Number of pages14
DOIs
StatePublished - 2009

Publication series

NameCommunications in Computer and Information Science
Volume56
ISSN (Print)1865-0929

Funding

This work was partly supported by the U.S. National Science Foundation under Grants No. 0823868, No. 0716527, and No. 0552707, and Oakland University Faculty Research Fellowship (FRF). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Keywords

  • Mix Zones
  • Privacy
  • Security
  • Silent Periods and Group Signature
  • VANET

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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