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Cyber risk measurement with ordinal data

  • Silvia Facchinetti
  • Paolo GiudiciEmail author
  • Silvia Angela Osmetti
Original Paper

Abstract

The paper proposes a new methodology to measure cyber risks which, instead of using quantitative loss data, often not available, employs ordinal data. The method relies on the construction of a criticality index, whose properties are discussed and compared with alternative measures employed in operational risk measurement. The methodology is illustrated on data regarding cyber attacks collected at the worldwide level. The proposed measure is found to be quite effective to rank cyber risk types. Thus, from a policy perspective, it can be useful to guide the implementation of preventive actions.

Keywords

Citicality index Cyber attacks Operational risk Ordinal data modelling 

Notes

Acknowledgements

We thank the editor and two anonymous referees for useful comments and suggestions, that have improved the quality of the paper.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Departement of Statistical scienceUniversità Cattolica del Sacro CuoreMilanItaly
  2. 2.Department of Economics and ManagementUniversity of PaviaPaviaItaly

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