@inbook{f3c684d0e1e74318a8a186a12a440637,
title = "Friendly jamming for secure localization in vehicular transportation",
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.",
keywords = "Automated vehicles, Friendly jamming, Intelligent transportation, Secure localization",
author = "Bhaswati Deka and Gerdes, {Ryan M.} and Ming Li and Kevin Heaslip",
note = "Funding Information: This work was supported in part by the Mountain Plains Consortium under Grant No. MPC-435 and the National Science Foundation under Grant No. 1410000. Publisher Copyright: {\textcopyright} Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.",
year = "2015",
doi = "10.1007/978-3-319-23829-6_16",
language = "English (US)",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer-Verlag",
pages = "212--221",
booktitle = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
}