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Multicriteria Decision Framework for Cybersecurity Risk Assessment and Management

机译:网络安全风险评估和管理的多准则决策框架

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摘要

Risk assessors and managers face many difficult challenges related to novel cyber systems. Among these challenges are the constantly changing nature of cyber systems caused by technical advances, their distribution across the physical, information, and sociocognitive domains, and the complex network structures often including thousands of nodes. Here, we review probabilistic and risk-based decision-making techniques applied to cyber systems and conclude that existing approaches typically do not address all components of the risk assessment triplet (threat, vulnerability, consequence) and lack the ability to integrate across multiple domains of cyber systems to provide guidance for enhancing cybersecurity. We present a decision-analysis-based approach that quantifies threat, vulnerability, and consequences through a set of criteria designed to assess the overall utility of cybersecurity management alternatives. The proposed framework bridges the gap between risk assessment and risk management, allowing an analyst to ensure a structured and transparent process of selecting risk management alternatives. The use of this technique is illustrated for a hypothetical, but realistic, case study exemplifying the process of evaluating and ranking five cybersecurity enhancement strategies. The approach presented does not necessarily eliminate biases and subjectivity necessary for selecting countermeasures, but provides justifiable methods for selecting risk management actions consistent with stakeholder and decisionmaker values and technical data.
机译:风险评估者和管理者面临与新型网络系统相关的许多困难挑战。这些挑战包括技术进步带来的网络系统不断变化的特性,它们在物理,信息和社会认知领域中的分布以及复杂的网络结构(通常包括数千个节点)。在这里,我们回顾了应用于网络系统的概率和基于风险的决策技术,并得出结论,现有方法通常不能解决风险评估三元组的所有组成部分(威胁,脆弱性,后果),并且缺乏跨多个领域集成的能力网络系统,以提供增强网络安全性的指导。我们提出了一种基于决策分析的方法,该方法通过一组旨在评估网络安全管理替代方案的整体效用的标准来量化威胁,脆弱性和后果。拟议的框架弥合了风险评估与风险管理之间的鸿沟,使分析师能够确保选择风险管理替代方案的过程结构透明。举例说明了此技术的使用,但是一个假设的但实际的案例研究,例证了评估和排名五种网络安全增强策略的过程。提出的方法不一定消除选择对策所必需的偏见和主观性,而是提供了合理的方法来选择与利益相关者,决策者的价值观和技术数据相一致的风险管理措施。

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