Traffic networks are vulnerable to disinformation attacks

Abstract Disinformation continues to raise concerns due to its increasing threat to society. Nevertheless, a threat of a disinformation-based attack on critical infrastructure is often overlooked. Here, we consider urban traffic networks and focus on fake information that manipulates drivers’ decisi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Marcin Waniek, Gururaghav Raman, Bedoor AlShebli, Jimmy Chih-Hsien Peng, Talal Rahwan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e5c85dd5989c4267b94c5f6e5720b81a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e5c85dd5989c4267b94c5f6e5720b81a
record_format	dspace
spelling	oai:doaj.org-article:e5c85dd5989c4267b94c5f6e5720b81a2021-12-02T13:19:21ZTraffic networks are vulnerable to disinformation attacks10.1038/s41598-021-84291-w2045-2322https://doaj.org/article/e5c85dd5989c4267b94c5f6e5720b81a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84291-whttps://doaj.org/toc/2045-2322Abstract Disinformation continues to raise concerns due to its increasing threat to society. Nevertheless, a threat of a disinformation-based attack on critical infrastructure is often overlooked. Here, we consider urban traffic networks and focus on fake information that manipulates drivers’ decisions to create congestion at a city scale. Specifically, we consider two complementary scenarios, one where drivers are persuaded to move towards a given location, and another where they are persuaded to move away from it. We study the optimization problem faced by the adversary when choosing which streets to target to maximize disruption. We prove that finding an optimal solution is computationally intractable, implying that the adversary has no choice but to settle for suboptimal heuristics. We analyze one such heuristic, and compare the cases when targets are spread across the city of Chicago vs. concentrated in its business district. Surprisingly, the latter results in more far-reaching disruption, with its impact felt as far as 2 km from the closest target. Our findings demonstrate that vulnerabilities in critical infrastructure may arise not only from hardware and software, but also from behavioral manipulation.Marcin WaniekGururaghav RamanBedoor AlShebliJimmy Chih-Hsien PengTalal RahwanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marcin Waniek Gururaghav Raman Bedoor AlShebli Jimmy Chih-Hsien Peng Talal Rahwan Traffic networks are vulnerable to disinformation attacks
description	Abstract Disinformation continues to raise concerns due to its increasing threat to society. Nevertheless, a threat of a disinformation-based attack on critical infrastructure is often overlooked. Here, we consider urban traffic networks and focus on fake information that manipulates drivers’ decisions to create congestion at a city scale. Specifically, we consider two complementary scenarios, one where drivers are persuaded to move towards a given location, and another where they are persuaded to move away from it. We study the optimization problem faced by the adversary when choosing which streets to target to maximize disruption. We prove that finding an optimal solution is computationally intractable, implying that the adversary has no choice but to settle for suboptimal heuristics. We analyze one such heuristic, and compare the cases when targets are spread across the city of Chicago vs. concentrated in its business district. Surprisingly, the latter results in more far-reaching disruption, with its impact felt as far as 2 km from the closest target. Our findings demonstrate that vulnerabilities in critical infrastructure may arise not only from hardware and software, but also from behavioral manipulation.
format	article
author	Marcin Waniek Gururaghav Raman Bedoor AlShebli Jimmy Chih-Hsien Peng Talal Rahwan
author_facet	Marcin Waniek Gururaghav Raman Bedoor AlShebli Jimmy Chih-Hsien Peng Talal Rahwan
author_sort	Marcin Waniek
title	Traffic networks are vulnerable to disinformation attacks
title_short	Traffic networks are vulnerable to disinformation attacks
title_full	Traffic networks are vulnerable to disinformation attacks
title_fullStr	Traffic networks are vulnerable to disinformation attacks
title_full_unstemmed	Traffic networks are vulnerable to disinformation attacks
title_sort	traffic networks are vulnerable to disinformation attacks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e5c85dd5989c4267b94c5f6e5720b81a
work_keys_str_mv	AT marcinwaniek trafficnetworksarevulnerabletodisinformationattacks AT gururaghavraman trafficnetworksarevulnerabletodisinformationattacks AT bedooralshebli trafficnetworksarevulnerabletodisinformationattacks AT jimmychihhsienpeng trafficnetworksarevulnerabletodisinformationattacks AT talalrahwan trafficnetworksarevulnerabletodisinformationattacks
_version_	1718393303069622272

Traffic networks are vulnerable to disinformation attacks

Ejemplares similares