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Potential Use of the Theory of Vulnerability in Information Systems

Author

Listed:
  • Pedro Sá Silva

    (Coimbra Institute of Accounting and Administration, Portugal)

  • Jorge Pinto

    (University of Trás-os-Montes and Alto Douro, Portugal)

  • João Varajão

    (University of Trás-os-Montes and Alto Douro, Portugal)

  • António Trigo

    (Coimbra Institute of Accounting and Administration, Portugal)

  • Isabel Bentes

    (University of Trás-os-Montes and Alto Douro, Portugal)

  • Humberto Varum

    (University of Aveiro, Portugal)

Abstract

Information Systems in the past few years became a keystone of society. History shows that in some Information Systems one simple failure can lead to disproportioned economic and social damages. Initially used in structural systems, the theory of vulnerability searches for this type of failure. This theory identifies failures in which small damage can have disproportionate impact consequences in terms of the functionality of the whole system. To test and evaluate these failures injections and analyze the impacts of them in sensitive Information Systems, simulation provides an interesting approach. By mimicking systems and representing them through models, simulation studies an imitated system without disrupting the system itself. Simulation provides a safer approach to explore and test the system in damage scenarios without real consequences. This paper discusses the use of the theory of vulnerability in Information Systems simulation.

Suggested Citation

  • Pedro Sá Silva & Jorge Pinto & João Varajão & António Trigo & Isabel Bentes & Humberto Varum, 2012. "Potential Use of the Theory of Vulnerability in Information Systems," Information Resources Management Journal (IRMJ), IGI Global, vol. 25(2), pages 22-33, April.
    • Handle: RePEc:igg:rmj000:v:25:y:2012:i:2:p:22-33
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    References listed on IDEAS

    as
    1. Docherty, Peter & Wang, Gehong, 2010. "Using synthetic data to evaluate the impact of RTGS on systemic risk in the Australian payments system," Journal of Financial Stability, Elsevier, vol. 6(2), pages 103-117, June.
    2. Sanjay Goel & Eitel J.M. Lauría, 2010. "Quantification, Optimization and Uncertainty Modeling in Information Security Risks: A Matrix-Based Approach," Information Resources Management Journal (IRMJ), IGI Global, vol. 23(2), pages 33-52, April.
    3. Souad Latorre & Jean-Marc Pointet, 2008. "The contributions and consequences of simulation tools and digital mock-ups on design and production as applied to the automobile and aeronautics industries," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 8(3), pages 350-368.
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