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Cyber risk and cybersecurity: a systematic review of data availability
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 sour...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853293/ https://www.ncbi.nlm.nih.gov/pubmed/35194352 http://dx.doi.org/10.1057/s41288-022-00266-6 |
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author | Cremer, Frank Sheehan, Barry Fortmann, Michael Kia, Arash N. Mullins, Martin Murphy, Finbarr Materne, Stefan |
author_facet | Cremer, Frank Sheehan, Barry Fortmann, Michael Kia, Arash N. Mullins, Martin Murphy, Finbarr Materne, Stefan |
author_sort | Cremer, Frank |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41288-022-00266-6. |
format | Online Article Text |
id | pubmed-8853293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88532932022-02-18 Cyber risk and cybersecurity: a systematic review of data availability Cremer, Frank Sheehan, Barry Fortmann, Michael Kia, Arash N. Mullins, Martin Murphy, Finbarr Materne, Stefan Geneva Pap Risk Insur Issues Pract Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41288-022-00266-6. Palgrave Macmillan UK 2022-02-17 2022 /pmc/articles/PMC8853293/ /pubmed/35194352 http://dx.doi.org/10.1057/s41288-022-00266-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cremer, Frank Sheehan, Barry Fortmann, Michael Kia, Arash N. Mullins, Martin Murphy, Finbarr Materne, Stefan Cyber risk and cybersecurity: a systematic review of data availability |
title | Cyber risk and cybersecurity: a systematic review of data availability |
title_full | Cyber risk and cybersecurity: a systematic review of data availability |
title_fullStr | Cyber risk and cybersecurity: a systematic review of data availability |
title_full_unstemmed | Cyber risk and cybersecurity: a systematic review of data availability |
title_short | Cyber risk and cybersecurity: a systematic review of data availability |
title_sort | cyber risk and cybersecurity: a systematic review of data availability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853293/ https://www.ncbi.nlm.nih.gov/pubmed/35194352 http://dx.doi.org/10.1057/s41288-022-00266-6 |
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