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Friendly Jamming for Secure Localization in Vehicular Transportation

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International Conference on Security and Privacy in Communication Networks (SecureComm 2014)

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. Utah State University, Logan, UT, 84322, USA

    Bhaswati Deka, Ryan M. Gerdes & Ming Li

  2. Virginia Tech, Arlington, VA, 22203, USA

    Kevin Heaslip

Authors
  1. Bhaswati Deka
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  2. Ryan M. Gerdes
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  3. Ming Li
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  4. Kevin Heaslip
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Corresponding author

Correspondence to Ryan M. Gerdes .

Editor information

Editors and Affiliations

  1. CAS, Institute of Information Engineering CAS, Beijing, China

    Jing Tian

  2. Institute of Information Engineering, CAS, Beijing, China

    Jiwu Jing

  3. IBM Thomas J. Watson Research Center, New York, New York, USA

    Mudhakar Srivatsa

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Deka, B., Gerdes, R.M., Li, M., Heaslip, K. (2015). Friendly Jamming for Secure Localization in Vehicular Transportation. In: Tian, J., Jing, J., Srivatsa, M. (eds) International Conference on Security and Privacy in Communication Networks. SecureComm 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-319-23829-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-23829-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23828-9

  • Online ISBN: 978-3-319-23829-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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