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Cyber risk and cybersecurity: a systematic review of data availability

Author

Listed:
  • Frank Cremer

    (University of Limerick)

  • Barry Sheehan

    (University of Limerick)

  • Michael Fortmann

    (TH Köln University of Applied Sciences)

  • Arash N. Kia

    (University of Limerick)

  • Martin Mullins

    (University of Limerick)

  • Finbarr Murphy

    (University of Limerick)

  • Stefan Materne

    (TH Köln University of Applied Sciences)

Abstract

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, there is a growing necessity for better cyber information sources, standardised databases, mandatory reporting and public awareness. This research analyses the extant academic and industry literature on cybersecurity and cyber risk management with a particular focus on data availability. From a preliminary search resulting in 5219 cyber peer-reviewed studies, the application of the systematic methodology resulted in 79 unique datasets. We posit that the lack of available data on cyber risk poses a serious problem for stakeholders seeking to tackle this issue. In particular, we identify a lacuna in open databases that undermine collective endeavours to better manage this set of risks. The resulting data evaluation and categorisation will support cybersecurity researchers and the insurance industry in their efforts to comprehend, metricise and manage cyber risks.

Suggested Citation

  • Frank Cremer & Barry Sheehan & Michael Fortmann & Arash N. Kia & Martin Mullins & Finbarr Murphy & Stefan Materne, 2022. "Cyber risk and cybersecurity: a systematic review of data availability," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 698-736, July.
    • Handle: RePEc:pal:gpprii:v:47:y:2022:i:3:d:10.1057_s41288-022-00266-6
    DOI: 10.1057/s41288-022-00266-6
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    References listed on IDEAS

    as
    1. Eling, Martin & Jung, Kwangmin, 2018. "Copula approaches for modeling cross-sectional dependence of data breach losses," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 167-180.
    2. Corey Dunn & Nour Moustafa & Benjamin Turnbull, 2020. "Robustness Evaluations of Sustainable Machine Learning Models against Data Poisoning Attacks in the Internet of Things," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    3. Farkas, Sébastien & Lopez, Olivier & Thomas, Maud, 2021. "Cyber claim analysis using Generalized Pareto regression trees with applications to insurance," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 92-105.
    4. Farsi, Hamed & Fanian, Ali & Taghiyarrenani, Zahra, 2019. "A novel online state-based anomaly detection system for process control networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 27(C).
    5. Bessy-Roland, Yannick & Boumezoued, Alexandre & Hillairet, Caroline, 2021. "Multivariate Hawkes process for cyber insurance," Annals of Actuarial Science, Cambridge University Press, vol. 15(1), pages 14-39, March.
    6. Kamran Shaukat & Suhuai Luo & Vijay Varadharajan & Ibrahim A. Hameed & Shan Chen & Dongxi Liu & Jiaming Li, 2020. "Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity," Energies, MDPI, vol. 13(10), pages 1-27, May.
    7. Sheehan, Barry & Murphy, Finbarr & Mullins, Martin & Ryan, Cian, 2019. "Connected and autonomous vehicles: A cyber-risk classification framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 523-536.
    8. Arunabha Mukhopadhyay & Samir Chatterjee & Kallol K. Bagchi & Peteer J. Kirs & Girja K. Shukla, 2019. "Cyber Risk Assessment and Mitigation (CRAM) Framework Using Logit and Probit Models for Cyber Insurance," Information Systems Frontiers, Springer, vol. 21(5), pages 997-1018, October.
    9. M.‐Elisabeth Paté‐Cornell & Marshall Kuypers & Matthew Smith & Philip Keller, 2018. "Cyber Risk Management for Critical Infrastructure: A Risk Analysis Model and Three Case Studies," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 226-241, February.
    10. Vita Santa Barletta & Danilo Caivano & Antonella Nannavecchia & Michele Scalera, 2020. "Intrusion Detection for in-Vehicle Communication Networks: An Unsupervised Kohonen SOM Approach," Future Internet, MDPI, vol. 12(7), pages 1-24, July.
    11. Basim Mahbooba & Mohan Timilsina & Radhya Sahal & Martin Serrano & Ahmed Mostafa Khalil, 2021. "Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model," Complexity, Hindawi, vol. 2021, pages 1-11, January.
    12. Eric Dal Moro, 2020. "Towards an Economic Cyber Loss Index for Parametric Cover Based on IT Security Indicator: A Preliminary Analysis," Risks, MDPI, vol. 8(2), pages 1-12, May.
    13. Eling, Martin & Wirfs, Jan, 2019. "What are the actual costs of cyber risk events?," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1109-1119.
    14. Barry Sheehan & Finbarr Murphy & Arash N. Kia & Ronan Kiely, 2021. "A quantitative bow-tie cyber risk classification and assessment framework," Journal of Risk Research, Taylor & Francis Journals, vol. 24(12), pages 1619-1638, December.
    15. Yin-Yee Leong & Yen-Chih Chen, 2020. "Cyber risk cost and management in IoT devices-linked health insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 737-759, October.
    16. Martin Eling & Werner Schnell, 2016. "What do we know about cyber risk and cyber risk insurance?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 17(5), pages 474-491, November.
    17. Sokratis Vidros & Constantinos Kolias & Georgios Kambourakis & Leman Akoglu, 2017. "Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset," Future Internet, MDPI, vol. 9(1), pages 1-19, March.
    18. Chatterjee, Samrat & Thekdi, Shital, 2020. "An iterative learning and inference approach to managing dynamic cyber vulnerabilities of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    19. George Loukas & Diane Gan & Tuan Vuong, 2013. "A Review of Cyber Threats and Defence Approaches in Emergency Management," Future Internet, MDPI, vol. 5(2), pages 1-32, May.
    20. Alberto Sardi & Alessandro Rizzi & Enrico Sorano & Anna Guerrieri, 2021. "Cyber Risk in Health Facilities: A Systematic Literature Review," Papers 2102.04093, arXiv.org.
    21. Christian Biener & Martin Eling & Jan Hendrik Wirfs, 2015. "Insurability of Cyber Risk: An Empirical Analysis†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(1), pages 131-158, January.
    22. Ahmed Mahfouz & Abdullah Abuhussein & Deepak Venugopal & Sajjan Shiva, 2020. "Ensemble Classifiers for Network Intrusion Detection Using a Novel Network Attack Dataset," Future Internet, MDPI, vol. 12(11), pages 1-19, October.
    23. Sejun Jang & Shuyu Li & Yunsick Sung, 2020. "FastText-Based Local Feature Visualization Algorithm for Merged Image-Based Malware Classification Framework for Cyber Security and Cyber Defense," Mathematics, MDPI, vol. 8(3), pages 1-13, March.
    24. Sovacool, Benjamin K., 2008. "The costs of failure: A preliminary assessment of major energy accidents, 1907-2007," Energy Policy, Elsevier, vol. 36(5), pages 1802-1820, May.
    25. Joachim Bjørge Ulven & Gaute Wangen, 2021. "A Systematic Review of Cybersecurity Risks in Higher Education," Future Internet, MDPI, vol. 13(2), pages 1-40, February.
    26. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
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