Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0236517
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dc.titleHow weaponizing disinformation can bring down a city’s power grid
dc.contributor.authorRaman, G.
dc.contributor.authorAlShebli, B.
dc.contributor.authorWaniek, M.
dc.contributor.authorRahwan, T.
dc.contributor.authorPeng, J.C.-H.
dc.date.accessioned2021-08-23T03:18:04Z
dc.date.available2021-08-23T03:18:04Z
dc.date.issued2020-08-12
dc.identifier.citationRaman, G., AlShebli, B., Waniek, M., Rahwan, T., Peng, J.C.-H. (2020-08-12). How weaponizing disinformation can bring down a city’s power grid. PLoS ONE 15 (8-Aug) : e0236517. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0236517
dc.identifier.issn19326203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/198659
dc.description.abstractSocial media has made it possible to manipulate the masses via disinformation and fake news at an unprecedented scale. This is particularly alarming from a security perspective, as humans have proven to be one of the weakest links when protecting critical infrastructure in general, and the power grid in particular. Here, we consider an attack in which an adversary attempts to manipulate the behavior of energy consumers by sending fake discount notifications encouraging them to shift their consumption into the peak-demand period. Using Greater London as a case study, we show that such disinformation can indeed lead to unwitting consumers synchronizing their energy-usage patterns, and result in blackouts on a city-scale if the grid is heavily loaded. We then conduct surveys to assess the propensity of people to follow-through on such notifications and forward them to their friends. This allows us to model how the disinformation may propagate through social networks, potentially amplifying the attack impact. These findings demonstrate that in an era when disinformation can be weaponized, system vulnerabilities arise not only from the hardware and software of critical infrastructure, but also from the behavior of the consumers. Copyright: © 2020 Raman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.publisherPublic Library of Science
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2020
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1371/journal.pone.0236517
dc.description.sourcetitlePLoS ONE
dc.description.volume15
dc.description.issue8-Aug
dc.description.pagee0236517
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