Dynamic structural percolation model of loss distribution for cyber risk of small and medium-sized enterprises for tree-based LAN topology

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Cyber risk due to breach can be seen as a risk of a financial loss due to breach of an institution's IT infrastructure by unauthorized parties and exploiting, taking possession of, or disclosing data assets, thus creating financial and/or reputation damage. In this paper, as a primary contribution to the existing body of actuarial literature, we propose a structural model of aggregate loss distribution for cyber risk of small and medium-sized enterprises under the assumption of a tree-based LAN topology. Up to our knowledge, there exist no theoretical models of an aggregate loss distribution for cyber risk in this setting. To achieve our goal, we contextualize the problem in the probabilistic graph-theoretical framework using percolation models. We assume that the IT network topology is represented by a random graph allowing for heterogeneous loss topology and providing instructive numerical examples.

Original languageEnglish (US)
Pages (from-to)209-223
Number of pages15
JournalInsurance: Mathematics and Economics
Volume91
DOIs
StatePublished - Mar 2020

Keywords

  • Cyber risk
  • LAN
  • Loss modeling
  • Network topology
  • Percolation model
  • Random graphs

ASJC Scopus subject areas

  • Statistics and Probability
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

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