Cyber Risk Modeling Methods and Data Sets

Authors

Elisabeth V. Dubois, MBA
Omer F. Keskin, Ph.D.
Unal Tatar, Ph.D.

Description

This report reviews the academic and grey literature on “cyber insurance” and “cyberactuary” across multiple disciplines. This study benefits both practitioners and academics by contributing to the current body of literature by being the most extensive review to date that incorporates both academic and grey literature (resources produced outside of traditional publishing and distributing channels, such as reports by government agencies, non-governmental organizations, and companies). The study provides both academics and practitioners with a comprehensive, interdisciplinary synopsis of the methods, datasets, challenges, and future directions that will aid actuaries and risk managers.

Materials

Cyber Risk Modeling Methods and Data Sets

Cyber Risk Literature Search Compendium

Acknowledgments

The researchers’ deepest gratitude goes to those without whose efforts this project could not have come to fruition: the General Insurance Research Committee of the Society of Actuaries Research Institute for funding the research, external reviewers for their diligent work reviewing and editing this report for accuracy and relevance, and Project Oversight Group for overseeing the resource gathering, analyzing and discussing literature findings.

External Reviewers:

Michael McShane, Professor, Old Dominion University
C. Ariel Pinto, Professor, Old Dominion University

Project Oversight Group at the Society of Actuaries:

R. Dale Hall, FSA, MAAA, CFA, CERA, Managing Director of Research
Robert Montgomery, ASA, MAAA, Research Project Manager

Any opinions expressed may not reflect their opinions nor those of their employers. Any errors belong to the authors alone.

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