An Ambiguity Aversion Framework of Security Game under Ambiguities

WenJun Ma, Xudong Luo, Weiru Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)
33 Downloads (Pure)

Abstract

Security is a critical concern around the world. Since resources for security are always limited, lots of interest have arisen in using game theory to handle security resource allocation problems. However, most of the existing work does not address adequately how a defender chooses his optimal strategy in a game with absent, inaccurate, uncertain, and even ambiguous strategy profiles' payoffs. To address this issue, we propose a general framework of security games under ambiguities based on Dempster-Shafer theory and the ambiguity aversion principle of minimax regret. Then, we reveal some properties of this framework. Also, we present two methods to reduce the influence of complete ignorance. Our investigation shows that this new framework is better in handling security resource allocation problems under ambiguities.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
EditorsFrancesca Rossi
PublisherInternational Joint Conference on Artificial Intelligence (IJCAI)
Pages271-278
Number of pages8
ISBN (Print)978-1-57735-633-2
Publication statusPublished - Aug 2013
EventInternational Joint Conference on Artificial Intelligence, (IJCAI 2013) - Beijing, China
Duration: 03 Aug 201309 Aug 2013

Conference

ConferenceInternational Joint Conference on Artificial Intelligence, (IJCAI 2013)
CountryChina
CityBeijing
Period03/08/201309/08/2013

Keywords

  • Security
  • Game theory
  • Uncertainty

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  • Projects

    R1118ECI: Centre for Secure Information Technologies (CSIT)

    McCanny, J. V., Cowan, C., Crookes, D., Fusco, V., Linton, D., Liu, W., Miller, P., O'Neill, M., Scanlon, W. & Sezer, S.

    01/08/200930/06/2014

    Project: Research

    R1982ECI: Centre for Secure Information Technology

    McCanny, J. V., Cowan, C., Crookes, D., Fusco, V., Linton, D., Liu, W., Miller, P., O'Neill, M., Scanlon, W. & Sezer, S.

    01/08/200831/03/2015

    Project: Research

    Cite this

    Ma, W., Luo, X., & Liu, W. (2013). An Ambiguity Aversion Framework of Security Game under Ambiguities. In F. Rossi (Ed.), Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (pp. 271-278). International Joint Conference on Artificial Intelligence (IJCAI). http://ijcai.org/papers13/contents.php