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

doi:10.1109/CAST.2016.7914945

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 volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	Proceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016
Publisher	IEEE
Pages	84-89
Number of pages	6
ISBN (Electronic)	9781509013388
DOIs	https://doi.org/10.1109/CAST.2016.7914945
Publication status	Published - 2017
Event	2016 International Conference on Computing, Analytics and Security Trends, CAST 2016 - Pune, India Duration: 19 Dec 2016 → 21 Dec 2016

Conference

Conference	2016 International Conference on Computing, Analytics and Security Trends, CAST 2016
Country/Territory	India
City	Pune
Period	19/12/16 → 21/12/16

Keywords

Bank transactions
Bayesian Games
information
Meta Model
utility

Access to Document

10.1109/CAST.2016.7914945

Cite this

@inproceedings{1fe73fc8a8324e26b49dfd7260c99a6c,

title = "Applying Bayesian game theory to analyse cyber risks of bank transaction systems",

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.",

keywords = "Bank transactions, Bayesian Games, information, Meta Model, utility",

author = "{Van Der Veeken}, Pieter and {Van Schooten}, Stijn and Rhythima Shinde and Mirko Dunnewind and {Van Den Berg}, Jan",

year = "2017",

doi = "10.1109/CAST.2016.7914945",

language = "English",

pages = "84--89",

booktitle = "Proceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016",

publisher = "IEEE",

address = "United States",

note = "2016 International Conference on Computing, Analytics and Security Trends, CAST 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

}

Van Der Veeken, P, Van Schooten, S, Shinde, R, Dunnewind, M & Van Den Berg, J 2017, Applying Bayesian game theory to analyse cyber risks of bank transaction systems. in Proceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016., 7914945, IEEE, pp. 84-89, 2016 International Conference on Computing, Analytics and Security Trends, CAST 2016, Pune, India, 19/12/16. https://doi.org/10.1109/CAST.2016.7914945

Applying Bayesian game theory to analyse cyber risks of bank transaction systems. / Van Der Veeken, Pieter; Van Schooten, Stijn; Shinde, Rhythima et al.
Proceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016. IEEE, 2017. p. 84-89 7914945.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Applying Bayesian game theory to analyse cyber risks of bank transaction systems

AU - Van Der Veeken, Pieter

AU - Van Schooten, Stijn

AU - Shinde, Rhythima

AU - Dunnewind, Mirko

AU - Van Den Berg, Jan

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Bank transactions

KW - Bayesian Games

KW - information

KW - Meta Model

KW - utility

UR - http://www.scopus.com/inward/record.url?scp=85019919770&partnerID=8YFLogxK

U2 - 10.1109/CAST.2016.7914945

DO - 10.1109/CAST.2016.7914945

M3 - Conference contribution

AN - SCOPUS:85019919770

SP - 84

EP - 89

BT - Proceedings of International Conference on Computing, Analytics and Security Trends, CAST 2016

PB - IEEE

T2 - 2016 International Conference on Computing, Analytics and Security Trends, CAST 2016

Y2 - 19 December 2016 through 21 December 2016

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this