research-article

Privacy assessment in vehicular networks using simulation

Authors:

David EckhoffAuthors Info & Claims

WSC '14: Proceedings of the 2014 Winter Simulation Conference

Pages 3155 - 3166

Published: 07 December 2014 Publication History

Abstract

Vehicular networks are envisioned to play an important role in the building of intelligent transportation systems. However, the dangers of the wireless transmission of potentially exploitable information such as detailed locations are often overlooked or only inadequately addressed in field operational tests or standardization efforts. One of the main reasons for this is that the concept of privacy is difficult to quantify. While vehicular network algorithms are usually evaluated by means of simulation, it is a non-trivial task to assess the performance of a privacy protection mechanism.

In this paper we discuss the principles, challenges, and necessary steps in terms of privacy assessment in vehicular networks. We identify useful and practical metrics that allow the comparison and evaluation of privacy protection algorithms. We present a systematic literature review that sheds light on the current state of the art and give recommendations for future research directions in the field.

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Cited By

Xiao JAndelfinger PEckhoff DCai WKnoll A(2019)A Survey on Agent-based Simulation Using Hardware AcceleratorsACM Computing Surveys10.1145/329104851:6(1-35)Online publication date: 28-Jan-2019
https://dl.acm.org/doi/10.1145/3291048
Zhao YWagner I(2019)On the Strength of Privacy Metrics for Vehicular CommunicationIEEE Transactions on Mobile Computing10.1109/TMC.2018.283035918:2(390-403)Online publication date: 16-Jul-2019
https://dl.acm.org/doi/10.1109/TMC.2018.2830359
Wagner IEckhoff D(2018)Technical Privacy MetricsACM Computing Surveys10.1145/316838951:3(1-38)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3168389

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '14: Proceedings of the 2014 Winter Simulation Conference

December 2014

4032 pages

General Chair:
Stephen J. Buckley
IBM T.J. Watson Research Center
,
Program Chair:
John A. Miller
University of Georgia

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

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IEEE Press

Publication History

Published: 07 December 2014

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Research-article

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WSC '14

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SIGSIM

WSC '14: Winter Simulation Conference

December 7 - 10, 2014

Georgia, Savannah

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WSC '14 Paper Acceptance Rate 205 of 320 submissions, 64%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Xiao JAndelfinger PEckhoff DCai WKnoll A(2019)A Survey on Agent-based Simulation Using Hardware AcceleratorsACM Computing Surveys10.1145/329104851:6(1-35)Online publication date: 28-Jan-2019
https://dl.acm.org/doi/10.1145/3291048
Zhao YWagner I(2019)On the Strength of Privacy Metrics for Vehicular CommunicationIEEE Transactions on Mobile Computing10.1109/TMC.2018.283035918:2(390-403)Online publication date: 16-Jul-2019
https://dl.acm.org/doi/10.1109/TMC.2018.2830359
Wagner IEckhoff D(2018)Technical Privacy MetricsACM Computing Surveys10.1145/316838951:3(1-38)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3168389

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