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Secure IP Mobility Management for VANET

  • Sanaa Taha
  • Xuemin Shen

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Sanaa Taha, Xuemin Shen
    Pages 1-18
  3. Sanaa Taha, Xuemin Shen
    Pages 51-71
  4. Sanaa Taha, Xuemin Shen
    Pages 103-106

About this book

Introduction

This brief presents the challenges and solutions for VANETs’ security and privacy problems occurring in mobility management protocols including Mobile IPv6 (MIPv6), Proxy MIPv6 (PMIPv6), and Network Mobility (NEMO). The authors give an overview of the concept of the vehicular IP-address configurations as the prerequisite step to achieve mobility management for VANETs, and review the current security and privacy schemes applied in the three mobility management protocols. Throughout the brief, the authors propose new schemes and protocols to increase the security of IP addresses within VANETs including an anonymous and location privacy-preserving scheme for the MIPv6 protocol, a mutual authentication scheme that thwarts authentication attacks, and a fake point-cluster based scheme to prevent attackers from localizing users inside NEMO-based VANET hotspots. The brief concludes with future research directions. Professionals and researchers will find the analysis and new privacy schemes outlined in this brief a valuable addition to the literature on VANET management.

Keywords

Anonymity and location privacy Intelligent Transportation System (ITS) applications Mobility Management Protocols Multi-hop authentication Security in mobile IP-based VANETS

Authors and affiliations

  • Sanaa Taha
    • 1
  • Xuemin Shen
    • 2
  1. 1.Cairo University Faculty of computers and Information Dept. Information TechnologyOrman, GizaEgypt
  2. 2.University of Waterloo Dept. Electrical & Computer EngineeringWaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01351-0
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-01350-3
  • Online ISBN 978-3-319-01351-0
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site