New Risk Management Study Findings Have Been Reported from D. Rios Insua et al (An Adversarial Risk Analysis Framework for Cybersecurity)

2019 JUN 20 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on Risk Management are presented in a new report. According to news reporting originating in Madrid, Spain, by NewsRx journalists, research stated, “Risk analysis is an essential methodology for cybersecurity as it allows organizations to deal with cyber threats potentially affecting them, prioritize the defense of their assets, and decide what security controls should be implemented. Many risk analysis methods are present in cybersecurity models, compliance frameworks, and international standards.”

Financial supporters for this research include Horizon 2020 Framework Programme, Ministerio de Economia y Competitividad, AXA Research Fund, European Cooperation in Science and Technology.

The news reporters obtained a quote from the research, “However, most of them employ risk matrices, which suffer shortcomings that may lead to suboptimal resource allocations. We propose a comprehensive framework for cybersecurity risk analysis, covering the presence of both intentional and nonintentional threats and the use of insurance as part of the security portfolio.”

According to the news reporters, the research concluded: “A simplified case study illustrates the proposed framework, serving as template for more complex problems.”

For more information on this research see: An Adversarial Risk Analysis Framework for Cybersecurity. Risk Analysis, 2019;():. (Wiley-Blackwell - http://www.wiley.com/; Risk Analysis - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

Our news correspondents report that additional information may be obtained by contacting D. Rios Insua, Instituto de Ciencias Matematicas, Consejo Superior de Investigaciones Cientficas, Madrid, Spain. Additional authors for this research include A. Couce-Vieira, J.A. Rubio, W. Pieters, K. Labunets and D. G Rasines.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/risa.13331. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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