How many down? Toward understanding systematic risk in networks

Benjamin Johnson, Aron Laszka, Jens Grossklags

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The systematic risk of a networked system depends to a large extent on its topology. In this paper, we explore this dependency using a model of risk propagation from the literature on interdependent security games. Our main area of focus is on the number of nodes that go down after an attack takes place. We develop a simulation algorithm to study the effects of such attacks on arbitrary topologies, and apply this simulation to scale-free networks. We investigate by graphical illustration how the outcome distribution of such networks exhibits correlation effects that increase the likelihood of losing more nodes at once - an effect having direct applications to cyber-insurance.

Original languageEnglish
Title of host publicationASIA CCS 2014 - Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security
PublisherAssociation for Computing Machinery, Inc
Pages495-500
Number of pages6
ISBN (Electronic)9781450328005
DOIs
StatePublished - 4 Jun 2014
Externally publishedYes
Event9th ACM Symposium on Information, Computer and Communications Security, ASIA CCS 2014 - Kyoto, Japan
Duration: 4 Jun 20146 Jun 2014

Publication series

NameASIA CCS 2014 - Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security

Conference

Conference9th ACM Symposium on Information, Computer and Communications Security, ASIA CCS 2014
Country/TerritoryJapan
CityKyoto
Period4/06/146/06/14

Keywords

  • Cyber-insurance
  • Economics of security
  • Networks
  • Risk mitigation
  • Scale-free networks
  • Security
  • Topology

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