Skip to main content

Strong Nash Equilibria for Cybersecurity Investments with Nonlinear Budget Constraints

Part of the AIRO Springer Series book series (AIROSS,volume 1)

Abstract

This paper investigates the existence of strong Nash equilibria in a cybersecurity investment supply chain game theory model. We consider a supply chain network consisting of retailers and consumers at demand markets with each retailer being faced with nonlinear budget constraints on his security investments. We also assume that the demand for the product at each demand market is known and fixed and, hence, the conservation law of each demand market must be fulfilled. The model is a Generalized Nash equilibrium model for which we define a variational equilibrium, that allows us to give a variational inequality formulation. Our aim is to give a necessary condition to be a strong Nash equilibrium of the model in terms of a system of variational inequalities.

Keywords

  • Cybersecurity
  • Investments
  • Supply chains
  • Game theory
  • Nash equilibrium
  • Strong Nash equilibrium

This is a preview of subscription content, access via your institution.

Fig. 1

References

  1. Aumann, R.: Acceptable points in general cooperative \(n\) person games. Ann. Math. Studies 40, 287–324 (1959)

    MathSciNet  MATH  Google Scholar 

  2. Daniele, P., Maugeri, A., Nagurney, A.: Cybersecurity investments with nonlinear budget constraints: analysis of the marginal expected utilities. In: Daras NJ, Rassias MT (Eds.) Operations Research, Engineering, and Cyber Security: Trends in Applied Mathematics and Technology. Springer Optimum Applications, vol. 113, pp. 117–134 (2017)

    Google Scholar 

  3. Gatti, N., Rocco, M., Sandholm, T.: On the verification and computation of strong Nash equilibrium. In: 13, International Foundation for Autonomous Agents and Multiagent Systems on Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems, AAMAS? Richland, SC, ISBN 978-1-4503-1993-5, pp. 723–730 (2013)

    Google Scholar 

  4. Kulkarni, A.A., Shanbhag, U.V.: On the variational equilibrium as a refinement of the generalized Nash equilibrium. Automatica 48, 45–55 (2012)

    CrossRef  MathSciNet  Google Scholar 

  5. Luna, J.P.: Decomposition and Approximation Methods for Variational Inequalities, with Applications to Deterministic and Stochastic Energy Markets. PhD Thesis, Instituto Nacional de Matematica Pura e Aplicada, Rio de Janeiro, Brazil (2013)

    Google Scholar 

  6. Maugeri, A., Raciti, F.: On existence theorems for monotone and nonmonotone variational inequalities. J. Convex Anal. 16(3–4), 899–911 (2009)

    Google Scholar 

  7. Nagurney, A., Daniele, P., Shukla, S.: A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints. Ann. Oper. Res. 248(1), 405–427 (2017)

    CrossRef  MathSciNet  Google Scholar 

  8. Nagurney, A., Nagurney. L.S., Shukla, S.: A Supply chain game theory framework for cybersecurity investments under network vulnerability. In: Daras, N.J., Rassias, M.T. (eds.) Computation, Cryptography, and Network Security, Springer International Publishing Switzerland, pp. 381–398 (2015)

    Google Scholar 

  9. Nash, J.F.: Non-cooperative games. Ann. Math. 54, 286–295 (1951)

    CrossRef  MathSciNet  Google Scholar 

  10. Nessah, R., Tazdait, T.: Absolute optimal solution for a compact and convex game. Eur. J. Op. Res. 224(2), 353–361 (2013)

    CrossRef  MathSciNet  Google Scholar 

  11. Shetty, N., Schwartz, G., Felegehazy, M., Walrand, J.: Competitive Cyber-Insurance and Internet Security. In: Proceedings of the Eighth Workshop on the Economics of Information Security (WEIS 2009), June 24–25 University College London, England (2009)

    Google Scholar 

Download references

Acknowledgements

The research of the authors was partially supported by the research project PON SCN 00451 CLARA—CLoud plAtform and smart underground imaging for natural Risk Assessment, Smart Cities and Communities and Social Innovation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrizia Daniele .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Daniele, P., Scrimali, L. (2018). Strong Nash Equilibria for Cybersecurity Investments with Nonlinear Budget Constraints. In: Daniele, P., Scrimali, L. (eds) New Trends in Emerging Complex Real Life Problems. AIRO Springer Series, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-00473-6_22

Download citation