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Could a Cyber Attack Meaningfully Impact GDP? Using Natural Disasters to Better Understand the Economic Effects of Cyber Attacks

Johansmeyer, Tom (2026) Could a Cyber Attack Meaningfully Impact GDP? Using Natural Disasters to Better Understand the Economic Effects of Cyber Attacks. Journal of Strategic Competition, 2 (2). pp. 1-20. (KAR id:115600)

Abstract

Fears that a major cyber event – a “cyber catastrophe” – could cause significant impairment to gross domestic product (GDP) has long been implied through discussion of potential severity. However, this article is the first to test the effects of historical cyber catastrophe on GDP. Using GDP as a common reference point, the study uses a comparison of cyber catastrophe economic losses to those from natural disasters in order to show how severe the economic consequences of a cyber catastrophe would have to become in order to achieve materiality. Building on limited prior research in the space, this article offers the first formal comparison of cyber catastrophe and natural disaster economic losses as a signal regarding potential impact, which can be used to inform cyber security strategy.

Item Type: Article
Uncontrolled keywords: economic competition, economic security, cyber security, natural disasters, security strategy, security studies
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HB Economic Theory
J Political Science > JA Political science (General)
J Political Science > JZ International relations
Institutional Unit: Schools > School of Computing
Schools > School of Economics and Politics and International Relations > Economics
Schools > School of Economics and Politics and International Relations > Politics and International Relations
Institutes > Institute of Cyber Security for Society
Former Institutional Unit:
There are no former institutional units.
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Tom Johansmeyer
Date Deposited: 10 Jun 2026 22:34 UTC
Last Modified: 10 Jun 2026 22:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/115600 (The current URI for this page, for reference purposes)

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