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本文引用的文献

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Cyber risk and cybersecurity: a systematic review of data availability.网络风险与网络安全:数据可用性的系统综述
Geneva Pap Risk Insur Issues Pract. 2022;47(3):698-736. doi: 10.1057/s41288-022-00266-6. Epub 2022 Feb 17.
2
Systemic Cyber Risk and Aggregate Impacts.系统性网络风险与总体影响。
Risk Anal. 2022 Aug;42(8):1606-1622. doi: 10.1111/risa.13715. Epub 2021 Feb 16.
3
Defining Cyber Security and Cyber Security Risk within a Multidisciplinary Context using Expert Elicitation.使用专家启发式方法在多学科背景下定义网络安全和网络安全风险。
Risk Anal. 2022 Aug;42(8):1643-1669. doi: 10.1111/risa.13687. Epub 2021 Feb 14.
4
Cyber Risk Management for Critical Infrastructure: A Risk Analysis Model and Three Case Studies.关键基础设施的网络风险管理:风险分析模型与三个案例研究。
Risk Anal. 2018 Feb;38(2):226-241. doi: 10.1111/risa.12844. Epub 2017 Jul 5.

网络风险分类法的分类法。

A taxonomy of cyber risk taxonomies.

作者信息

Rabitti Giovanni, Khorrami Chokami Amir, Coyle Patrick, Cohen Ruben D

机构信息

Department of Actuarial Mathematics and Statistics, Heriot-Watt University and Maxwell Institute for Mathematical Sciences, Edinburgh, UK.

Department of Mathematics and Computer Science, Università di Cagliari, Cagliari, Italy.

出版信息

Risk Anal. 2025 Feb;45(2):376-386. doi: 10.1111/risa.16629. Epub 2024 Aug 2.

DOI:10.1111/risa.16629
PMID:39091193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11787955/
Abstract

The field of cyber risks is rapidly expanding, yet significant research remains to be conducted. Numerous taxonomy-based systems have been proposed in both the academic literature and industrial practice to classify cyber risk threats. However, the fragmentation of various approaches has resulted in a plethora of taxonomies, often incongruent with one another. In this study, we undertake a comprehensive review of these alternative taxonomies and offer a common framework for their classification based on their scope. Furthermore, we introduce desirable properties of a taxonomy, which enable comparisons of different taxonomies with the same scope. Finally, we discuss the managerial implications stemming from the utilization of each taxonomy class to support decision-making processes.

摘要

网络风险领域正在迅速扩展,但仍有大量研究有待开展。学术文献和行业实践中都提出了许多基于分类法的系统来对网络风险威胁进行分类。然而,各种方法的碎片化导致了大量的分类法,它们往往相互不一致。在本研究中,我们对这些替代分类法进行了全面回顾,并根据其范围为它们的分类提供了一个通用框架。此外,我们介绍了分类法的理想属性,这些属性能够对具有相同范围的不同分类法进行比较。最后,我们讨论了利用每个分类法类别所产生的管理意义,以支持决策过程。