Friendly jamming for secure localization in vehicular transportation

Bhaswati Deka, Ryan M. Gerdes, Ming Li, Kevin Heaslip

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

In this paper we explore the prospect of using friendly jamming for the secure localization of vehicles. In friendly jamming confidential information is obscured from eavesdroppers through the use of opportunistic jamming on the part of the parties engaged in communication. We analyze the effectiveness of friendly jamming and compare it to the traditional localization approaches of distance bounding and verifiable trilateration for similar highway infrastructures. We present our results in terms of the probability of spoofing a given position by maliciously-controlled vehicles.

Original languageEnglish (US)
Title of host publicationLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
PublisherSpringer-Verlag
Pages212-221
Number of pages10
DOIs
StatePublished - 2015
Externally publishedYes

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume152
ISSN (Print)1867-8211

Keywords

  • Automated vehicles
  • Friendly jamming
  • Intelligent transportation
  • Secure localization

ASJC Scopus subject areas

  • Computer Networks and Communications

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