Modeling cybersecurity risks: Proof of concept of a holistic approach for integrated risk quantification

Henshel, Diane S.; Alexeev, Alexander; Cains, Mariana; Rowe, Jeff; Çam, Hasan; Hoffman, Blaine; Neamtiu, Iulian

doi:10.1109/ths.2016.7568937

Cited by 4 publications

(2 citation statements)

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“…The MulRRAP framework is an expansion of the multilevel risk assessment parameterization framework, originally developed to operationalize cybersecurity risk management via the parameterization of risk metrics for cyber, social, and sociotechnical systems of varying complexity (Oltramari et al 2015; Henshel et al 2016).…”

Section: Multilevel Risk and Resilience Assessment Parameterization F...mentioning

confidence: 99%

Parameterization Framework and Quantification Approach for Integrated Risk and Resilience Assessments

Cains

Henshel

2020

Integr Envir Assess & Manag

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Section: Multilevel Risk and Resilience Assessment Parameterization F...mentioning

confidence: 99%

Parameterization Framework and Quantification Approach for Integrated Risk and Resilience Assessments

Cains

Henshel

2020

Integr Envir Assess & Manag

Self Cite

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“…Henshel et al [18] introduced a dynamic quantitative RA approach which models both the system (software, hardware, network) and the human factor. The authors used Bayesian networks in order to analyse and assess the cyber risks (low-medium-high) along with direct acyclic graphs (DAGs) to represent the connections between nodes.…”

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confidence: 99%

Dynamic Risk Assessment in Cybersecurity: A Systematic Literature Review

Cheimonidis,

Rantos

2023

Future Internet

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Traditional information security risk assessment (RA) methodologies and standards, adopted by information security management systems and frameworks as a foundation stone towards robust environments, face many difficulties in modern environments where the threat landscape changes rapidly and new vulnerabilities are being discovered. In order to overcome this problem, dynamic risk assessment (DRA) models have been proposed to continuously and dynamically assess risks to organisational operations in (near) real time. The aim of this work is to analyse the current state of DRA models that have been proposed for cybersecurity, through a systematic literature review. The screening process led us to study 50 DRA models, categorised based on the respective primary analysis methods they used. The study provides insights into the key characteristics of these models, including the maturity level of the examined models, the domain or application area in which these models flourish, and the information they utilise in order to produce results. The aim of this work is to answer critical research questions regarding the development of dynamic risk assessment methodologies and provide insights on the already developed methods as well as future research directions.

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Integrated Energy Systems Security Assessment Based on Belief Rule Base Model

Wei

Peng

et al. 2021

2021 6th International Conference on Power and Renewable Energy (ICPRE)

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Modeling cybersecurity risks: Proof of concept of a holistic approach for integrated risk quantification

Cited by 4 publications

References 4 publications

Parameterization Framework and Quantification Approach for Integrated Risk and Resilience Assessments

Parameterization Framework and Quantification Approach for Integrated Risk and Resilience Assessments

Dynamic Risk Assessment in Cybersecurity: A Systematic Literature Review

Integrated Energy Systems Security Assessment Based on Belief Rule Base Model

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