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Metrics For Quantifying Interdependencies

  • Emiliano Casalicchio
  • Emanuele Galli
Conference paper
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 290)

The quantification of interdependencies is a major challenge when attempting to analyze the behavior of critical infrastructures. This paper presents a taxonomy of interdependency quantification metrics based on their information content, decision support and risk analysis capabilities, and computational costs. The paper also discusses a systematic approach for computing metrics and performance indices that measure the effectiveness of strategies designed to enhance critical infrastructure protection and resilience. A case study is used to illustrate the computation of the metrics and performance indices, and their application to the analysis of critical infrastructure interdependencies.

Keywords

Interdependencies metrics federated simulation 

References

  1. 1.
    I. Abele-Wigert and M. Dunn, International CIIP Handbook, Volume 1, Center for Security Studies, Swiss Federal Institute of Technology, Zurich, Switzerland, 2006.Google Scholar
  2. 2.
    S. Asavathiratham, B. Lesieutre and G. Verghese, The influence model, IEEE Control Systems, vol. 21(6), pp. 52–64, 2001.CrossRefGoogle Scholar
  3. 3.
    E. Bonabeau, Agent-based modeling: Methods and techniques for simulating human systems, Proceedings of the National Academy of Sciences, vol. 99(3), pp. 7280–7287,2002.CrossRefGoogle Scholar
  4. 4.
    V. Cardellini, E. Casalicchio and E. Galli, Agent-based modeling of inter-dependencies in critical infrastructures through UML, Proceedings of the Agent-Directed Simulation Symposium of the Spring Simulation Multiconference, pp. 119–126, 2007.Google Scholar
  5. 5.
    E. Casalicchio, E. Galli and S. Tucci, Federated agent-based modeling and simulation approach to study interdependencies in IT critical infrastructures, Proceedings of the Eleventh International Symposium on Distributed Simulation and Real-Time Applications, pp. 182–189, 2007.Google Scholar
  6. 6.
    D. Dudenhoeffer, M. Permann and M. Manic, CIMS: A framework for infrastructure interdependency modeling and analysis, Proceedings of the Winter Simulation Conference, pp. 478–485, 2006.Google Scholar
  7. 7.
    B. Ezell, J. Farr and T. Wiese, Infrastructure risk analysis model, Journal of Infrastructure Systems, vol. 6(3), pp. 114–117, 2000.CrossRefGoogle Scholar
  8. 8.
    O. Gursesli and A. Desrochers, Modeling infrastructure interdependencies using Petri nets, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 2, pp. 1506–1512, 2003.Google Scholar
  9. 9.
    Y. Haimes, Risk Modeling, Assessment and Management, Wiley-Inter-science, Hoboken, New Jersey, 2004.Google Scholar
  10. 10.
    Y. Haimes and P. Jiang, Leontief-based model of risk in complex interconnected infrastructures, Journal of Infrastructure Systems, vol. 7(1), pp. 1–12, 2001.CrossRefGoogle Scholar
  11. 11.
    Homeland Security Advisory Council, Report of the Critical Infrastructure Task Force, Department of Homeland Security, Washington, DC (www.dhs.gov/xlibrary/assets/HSAC_CITF_Report_v2.pdf), 2006.
  12. 12.
    K. Hopkinson, X. Wang, R. Giovanini, J. Thorp, K. Birman and D. Coury, EPOCHS: A platform for agent-based electric power and communication simulation built from commercial off-the-shelf components, IEEE Transactions on Power Systems, vol. 21(2), pp. 548–558, 2006.CrossRefGoogle Scholar
  13. 13.
    M. North, N. Collier and J. Vos, Experiences creating three implementations of the Repast agent modeling toolkit, ACM Transactions on Modeling and Computer Simulation, vol. 16(1), pp. 1–25, 2006.CrossRefGoogle Scholar
  14. 14.
    S. Rinaldi, J. Peerenboom and T. Kelly, Identifying, understanding and analyzing critical infrastructure interdependencies, IEEE Control Systems, vol. 21(6), pp. 11–25, 2001.CrossRefGoogle Scholar
  15. 15.
    N. Svendsen and S. Wolthusen, Connectivity models of interdependency in mixed-type critical infrastructure networks, Information Security Technical Report, vol. 12(1), pp. 44–55, 2007.CrossRefGoogle Scholar
  16. 16.
    N. Svendsen and S. Wolthusen, Multigraph dependency models for heterogeneous infrastructures, in Critical Infrastructure Protection, E. Goetz and S. Shenoi (Eds.), Springer, Boston, Massachusetts, pp. 337–350, 2007.CrossRefGoogle Scholar
  17. 17.
    R. Zimmerman, Decision-making and the vulnerability of interdependent critical infrastructures, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 5, pp. 4059–4063, 2004.Google Scholar
  18. 18.
    R. Zimmerman and C. Restrepo, The next step: Quantifying infrastructure interdependencies to improve security, International Journal of Critical Infrastructures, vol. 2(2/3), pp. 215–230, 2006.CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Emiliano Casalicchio
    • 1
  • Emanuele Galli
    • 1
  1. 1.RomeItaly

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