student
Russian Federation
employee
The relevance of the study is driven by the growing threat of large-scale cyberattacks on critical infrastructure amid the digital transformation of the economy. The problem lies in the lack of comprehensive methodologies to assess not only direct but also systemic macroeconomic consequences of such incidents. The aim is to develop a model for the quantitative assessment of systemic risk based on a modified input-output model. The methodology accounts for cascade effects and indirect losses in interrelated industries due to disruptions in inter-industry linkages. The results of scenario modeling of an attack on the energy sector demonstrate that total losses for the national economy can far exceed direct damage, reaching 2.5% of GDP or more. The findings highlight the need for government authorities to consider systemic risks when developing cyber resilience strategies.
cyberattacks, critical infrastructure, economic modeling, systemic risk, macroeconomic consequences, input-output model
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