Game-theoretic strategies for asymmetric networked systems

Nageswara S.V. Rao, Chris Y.T. Ma, Kjell Hausken, Fei He, David K.Y. Yau, Jun Zhuang

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

6 Scopus citations

Abstract

We consider an infrastructure consisting of a network of systems each composed of discrete components that can be reinforced at a certain cost to guard against attacks. The network provides the vital connectivity between systems, and hence plays a critical, asymmetric role in the infrastructure operations. We characterize the system-level correlations using the aggregate failure correlation function that specifies the infrastructure failure probability given the failure of an individual system or network. The survival probabilities of systems and network satisfy first-order differential conditions that capture the component-level correlations. We formulate the problem of ensuring the infrastructure survival as a game between an attacker and a provider, using the sum-form and product-form utility functions, each composed of a survival probability term and a cost term. We derive Nash Equilibrium conditions which provide expressions for individual system survival probabilities, and also the expected capacity specified by the total number of operational components. These expressions differ only in a single term for the sum-form and product-form utilities, despite their significant differences. We apply these results to simplified models of distributed cloud computing infrastructures.

Original languageEnglish
Title of host publication20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996452700
DOIs
StatePublished - Aug 11 2017
Event20th International Conference on Information Fusion, Fusion 2017 - Xi'an, China
Duration: Jul 10 2017Jul 13 2017

Publication series

Name20th International Conference on Information Fusion, Fusion 2017 - Proceedings

Conference

Conference20th International Conference on Information Fusion, Fusion 2017
Country/TerritoryChina
CityXi'an
Period07/10/1707/13/17

Funding

This work is funded by the Mathematics of Complex, Distributed, Interconnected Systems Program, Office of Advanced Computing Research, U.S. Department of Energy, and by Extreme Scale Systems Center, sponsored by U. S. Department of Defense, and performed at Oak Ridge National Laboratory managed by UT-Battelle, LLC for U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

FundersFunder number
U.S. Department of Defense
U.S. Department of Energy
Oak Ridge National Laboratory
UT-BattelleDE-AC05-00OR22725
Office of Advanced Research Computing, Rutgers, The State University of New Jersey

    Keywords

    • Nash Equilibrium
    • aggregated correlation function
    • game theory
    • networked systems

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