Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks

Summary, in English

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.

• Författare: Saeed Jamalzadeh; Lily Mettenbrink; Kash Barker; Andrés D. González; Sridhar Radhakrishnan; Jonas Johansson; Elena Bessarabova
• Avdelning/ar: Avdelningen för Riskhantering och Samhällssäkerhet; LTH profilområde: Energiomställningen; LTH profilområde: Vatten
• Publiceringsår: 2024-03
• Språk: Engelska
• Publikation/Tidskrift/Serie: Reliability Engineering and System Safety
• Volym: 243
• Länkar: http://dx.doi.org/10.1016/j.ress.2023.109819
• Dokumenttyp: Artikel i tidskrift
• Förlag: Elsevier
• Ämne: Transport Systems and Logistics
• Nyckelord: Critical infrastructure; Disinformation; Misinformation; Mixed integer programming; Multi-commodity network; Railway; SIR model
• Aktiv: Published
• ISBN/ISSN/Övrigt: ISSN: 0951-8320