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  1. International Journal of Information Security
  2. International Journal of Information Security : Volume 7
  3. International Journal of Information Security : Volume 7, Issue 1, January 2008
  4. Bayesian rational exchange
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International Journal of Information Security : Volume 16
International Journal of Information Security : Volume 15
International Journal of Information Security : Volume 14
International Journal of Information Security : Volume 13
International Journal of Information Security : Volume 12
International Journal of Information Security : Volume 11
International Journal of Information Security : Volume 10
International Journal of Information Security : Volume 9
International Journal of Information Security : Volume 8
International Journal of Information Security : Volume 7
International Journal of Information Security : Volume 7, Issue 6, November 2008
International Journal of Information Security : Volume 7, Issue 5, October 2008
International Journal of Information Security : Volume 7, Issue 4, August 2008
International Journal of Information Security : Volume 7, Issue 3, June 2008
International Journal of Information Security : Volume 7, Issue 2, April 2008
International Journal of Information Security : Volume 7, Issue 1, January 2008
Preface
SAT-based model-checking for security protocols analysis
Limits of the BRSIM/UC soundness of Dolev–Yao-style XOR
A symbolic framework for multi-faceted security protocol analysis
Bayesian rational exchange
International Journal of Information Security : Volume 6
International Journal of Information Security : Volume 5
International Journal of Information Security : Volume 4
International Journal of Information Security : Volume 3
International Journal of Information Security : Volume 2
International Journal of Information Security : Volume 1

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Bayesian rational exchange

Content Provider Springer Nature Link
Author Estevez Tapiador, Juan M. Alcaide, Almudena Hernandez Castro, Julio C. Ribagorda, Arturo
Copyright Year 2007
Abstract The notion of rational exchange introduced by Syverson (Proceedings of the 11th IEEE Computer Society Foundations Workshop, pp. 2–13, 1998) is a particularly interesting alternative when an efficient scheme for fair exchange is required but the use of a trusted third party is not allowed. A rational exchange protocol cannot provide fairness, but it ensures that rational (i.e., self-interested) parties would have no reason to deviate from the protocol. Buttyán et al. (J. Comput. Security 12(3/4), 551–588, 2004) have recently pointed out how rationality in exchange protocols can be formalized and studied within the framework provided by Game Theory. In particular, Buttyan’s formal model was used to analyze Syverson’s rational exchange protocol. In this paper, we identify a series of drawbacks in Buttyan’s model which make it somewhat restrictive and unrealistic. We propose an extension to the model which enables us to consider different classes of protocol parties (e.g., honest and dishonest parties), as well as modeling attributes such as reputation or any other participant beliefs that could have an effect on the protocol outcome. The resulting new model enables us to reason rational exchange protocols from the point of view of Bayesian rationality, a notion that may be in some scenarios more appropriate than that defined in terms of Nash equilibrium.
Starting Page 85
Ending Page 100
Page Count 16
File Format PDF
ISSN 16155262
Journal International Journal of Information Security
Volume Number 7
Issue Number 1
e-ISSN 16155270
Language English
Publisher Springer-Verlag
Publisher Date 2007-08-10
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Rational exchange Syverson’s protocol Cryptographic protocols Automated validation Game theory Communications Engineering, Networks Management of Computing and Information Systems Coding and Information Theory Operating Systems Computer Communication Networks Data Encryption
Content Type Text
Resource Type Article
Subject Computer Networks and Communications Information Systems Safety, Risk, Reliability and Quality Software
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