Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks
(2024) In Reliability Engineering and System Safety 243.- Abstract
The well-publicized disinformation campaigns surrounding recent elections, pandemic vaccination adoption, as well as supply-chain disruptions and shortages have made historical problems of disinformation more apparent. When disinformation targets transportation infrastructure, supply chains can be disrupted, resulting in commodities shortages such as food and fuel, consequently jeopardizing the health and safety of communities. This research proposes an integrated epidemiological-optimization model that quantifies the impacts of weaponized disinformation on infrastructure networks that transport multiple commodities. The model aims to minimize the overall weighted shortage of commodities caused by different disinformation spread rates.... (More)
The well-publicized disinformation campaigns surrounding recent elections, pandemic vaccination adoption, as well as supply-chain disruptions and shortages have made historical problems of disinformation more apparent. When disinformation targets transportation infrastructure, supply chains can be disrupted, resulting in commodities shortages such as food and fuel, consequently jeopardizing the health and safety of communities. This research proposes an integrated epidemiological-optimization model that quantifies the impacts of weaponized disinformation on infrastructure networks that transport multiple commodities. The model aims to minimize the overall weighted shortage of commodities caused by different disinformation spread rates. Results show that disinformation weaponized against transportation infrastructure, potentially targeting a particular geographical region or a particular commodity, can have wide-ranging impacts across different commodities. The proposed model is applied to the multi-commodity Swedish railway network carrying 14 different categories of commodities over 1360 supply and demand nodes.
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- author
- Jamalzadeh, Saeed ; Mettenbrink, Lily ; Barker, Kash ; González, Andrés D. ; Radhakrishnan, Sridhar ; Johansson, Jonas LU and Bessarabova, Elena
- organization
- publishing date
- 2024-03
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Critical infrastructure, Disinformation, Misinformation, Mixed integer programming, Multi-commodity network, Railway, SIR model
- in
- Reliability Engineering and System Safety
- volume
- 243
- article number
- 109819
- publisher
- Elsevier
- external identifiers
-
- scopus:85178179723
- ISSN
- 0951-8320
- DOI
- 10.1016/j.ress.2023.109819
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: This research was partially funded by the National Science Foundation (NSF) [Award #2310470 ], a seed grant from the Data Institute for Societal Challenges (DISC) and the Oklahoma Aerospace and Defense Innovation Institute (OADII) at the University of Oklahoma , a fellowship from the Fulbright Finland Foundation , and the Centre for Critical Infrastructure Protection Research (CenCIP) at Lund University, Sweden . The contents expressed in this paper are the views of the authors and do not necessarily represent the opinions or views of the NSF, DISC/OADII, Fulbright Finland Foundation, or CenCIP. Publisher Copyright: © 2023 Elsevier Ltd
- id
- c02e9a5f-2fae-4fb6-ab37-3ff0d8d76791
- date added to LUP
- 2023-12-21 11:38:04
- date last changed
- 2023-12-21 11:38:04
@article{c02e9a5f-2fae-4fb6-ab37-3ff0d8d76791,
abstract = {{<p>The well-publicized disinformation campaigns surrounding recent elections, pandemic vaccination adoption, as well as supply-chain disruptions and shortages have made historical problems of disinformation more apparent. When disinformation targets transportation infrastructure, supply chains can be disrupted, resulting in commodities shortages such as food and fuel, consequently jeopardizing the health and safety of communities. This research proposes an integrated epidemiological-optimization model that quantifies the impacts of weaponized disinformation on infrastructure networks that transport multiple commodities. The model aims to minimize the overall weighted shortage of commodities caused by different disinformation spread rates. Results show that disinformation weaponized against transportation infrastructure, potentially targeting a particular geographical region or a particular commodity, can have wide-ranging impacts across different commodities. The proposed model is applied to the multi-commodity Swedish railway network carrying 14 different categories of commodities over 1360 supply and demand nodes.</p>}},
author = {{Jamalzadeh, Saeed and Mettenbrink, Lily and Barker, Kash and González, Andrés D. and Radhakrishnan, Sridhar and Johansson, Jonas and Bessarabova, Elena}},
issn = {{0951-8320}},
keywords = {{Critical infrastructure; Disinformation; Misinformation; Mixed integer programming; Multi-commodity network; Railway; SIR model}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Reliability Engineering and System Safety}},
title = {{Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks}},
url = {{http://dx.doi.org/10.1016/j.ress.2023.109819}},
doi = {{10.1016/j.ress.2023.109819}},
volume = {{243}},
year = {{2024}},
}