RSSI-based user centric anonymization for location privacy in Vehicular Networks

Yu Chih Wei, Yi Ming Chen, Hwai Ling Shan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In Vehicular Networks, for enhancing driving safety as well as supporting other applications, vehicles periodically broadcast safety messages with their precise position information to neighbors. However, these broadcast messages make it easy to track specific vehicles and will likely lead to compromise of personal privacy. Unfortunately, current location privacy enhancement methodologies in VANET, including Pseudonymization, K-anonymity, Random silent period, Mix-zones and path confusion, all suffer some shortcomings. In this paper, we propose a RSSI (Received Signal Strength Indicator)-based user centric anonymization model, which can significantly enhance the location privacy and at the same time ensure traffic safety. Simulations are performed to show the advantages of the proposed method. In comparison with traditional random silent period method, our method can increase at least 47% of anonymity in both simple and correlation tracking.

Original languageEnglish
Title of host publicationSecurity in Emerging Wireless Communication and Networking Systems - First International ICST Workshop, SEWCN 2009, Revised Selected Papers
Pages39-51
Number of pages13
DOIs
StatePublished - 2010
Event1st ICST International Workshop on Security in Emerging Wireless Communication and Networking Systems, SEWCN 2009 - Athens, Greece
Duration: 14 Sep 200914 Sep 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume42 LNICST
ISSN (Print)1867-8211

Conference

Conference1st ICST International Workshop on Security in Emerging Wireless Communication and Networking Systems, SEWCN 2009
Country/TerritoryGreece
CityAthens
Period14/09/0914/09/09

Keywords

  • Anonymity
  • Location privacy
  • Tracking
  • VANET

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