Applying Bayesian game theory to analyse cyber risks of bank transaction systems

Pieter Van Der Veeken, Stijn Van Schooten, Rhythima Shinde, Mirko Dunnewind, Jan Van Den Berg

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Bayesian game theory is an interesting field within cyber security. Applying it to bank transfer systems can be very useful in finding risks in time and to dynamically adapt to them. It can not only provide insight about the best threat control methods, but also gives insights in how confidential certain core information and actions within the system are. By defining key points for bank transfer systems, an abstract 'meta model' is created. Due to the key constraints and the relation with 'classic' Bayesian game theory, the validity of the abstract model can be proven for the more specific models.

Original languageEnglish
Title of host publicationProceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016
PublisherIEEE
Pages84-89
Number of pages6
ISBN (Electronic)9781509013388
DOIs
Publication statusPublished - 2017
Event2016 International Conference on Computing, Analytics and Security Trends, CAST 2016 - Pune, India
Duration: 19 Dec 201621 Dec 2016

Conference

Conference2016 International Conference on Computing, Analytics and Security Trends, CAST 2016
CountryIndia
CityPune
Period19/12/1621/12/16

Keywords

  • Bank transactions
  • Bayesian Games
  • information
  • Meta Model
  • utility

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