Cyber Security Investment in the Context of Disruptive Technologies: Extension of the Gordon-Loeb Model and Application to Critical Infrastructure Protection

  • Dimitri Percia DavidEmail author
  • Marcus Matthias Keupp
  • Solange Ghernaouti
  • Alain Mermoud
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10242)


We propose an extension of the Gordon-Loeb model by considering multi-periods and relaxing the assumption of a continuous security breach probability function. Such adaptations allow capturing dynamic aspects of information security investment such as the advent of a disruptive technology and its consequences. In this paper, the case of big data analytics (BDA) and its disruptive effects on information security investment is theoretically investigated. Our analysis suggests a substantive decrease in such investment due to a technological shift. While we believe this case should be generalizable across the information security milieu, we illustrate our approach in the context of critical infrastructure protection (CIP) in which security cost reduction is of prior importance since potential losses reach unaffordable dimensions. Moreover, despite BDA has been considered as a promising method for CIP, its concrete effects have been discussed little.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Dimitri Percia David
    • 1
    • 2
    Email author
  • Marcus Matthias Keupp
    • 1
    • 3
  • Solange Ghernaouti
    • 2
  • Alain Mermoud
    • 1
    • 2
  1. 1.Swiss Cybersecurity Advisory and Research Group (SCARG)University of LausanneLausanneSwitzerland
  2. 2.Department of Defense ManagementMilitary Academy at ETH ZurichBirmensdorfSwitzerland
  3. 3.Institute of Technology ManagementUniversity of St. GallenGallenSwitzerland

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