VTechWorks staff will be away for the winter holidays starting Tuesday, December 24, 2024, through Wednesday, January 1, 2025, and will not be replying to requests during this time. Thank you for your patience, and happy holidays!
 

Framework for Evaluating the Severity of Cybervulnerability of a Traffic Cabinet

dc.contributor.authorErnst, Joseph M.en
dc.contributor.authorMichaels, Alan J.en
dc.date.accessioned2018-02-01T19:30:46Zen
dc.date.available2018-02-01T19:30:46Zen
dc.date.issued2017en
dc.description.abstractThe increasing connectivity in transportation infrastructure is driving a need for additional security in transportation systems. For security decisions in a budget-constrained environment, the possible effect of a cyberattack must be numerically characterized. The size of an effect depends on the level of access and the vehicular demand on the intersections being controlled. This paper proposes a framework for better understanding of the levels of access and the effect that can be had in scenarios with varying demand. Simulations are performed on a simplistic corridor to provide numerical examples of the possible effects. The paper concludes that the possibility of some levels of cyberthreat may be acceptable in locations where traffic volumes would not be able to create an unmanageable queue. The more intimate levels of access can cause serious safety concerns by modifying the settings of the traffic controller in ways that encourage red-light running and accidents. The proposed framework can be used by transportation professionals and cybersecurity professionals to prioritize the actions to be taken to secure the infrastructure.en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3141/2619-06en
dc.identifier.urihttp://hdl.handle.net/10919/81986en
dc.language.isoenen
dc.publisherNational Academy of Sciencesen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleFramework for Evaluating the Severity of Cybervulnerability of a Traffic Cabineten
dc.title.serialTransportation Research Recorden
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ErnstTrafficCabinet2017.pdf
Size:
5.15 MB
Format:
Adobe Portable Document Format
Description: