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Quantitative assessment of cyber security risk using bayesian network-based model

机译:基于贝叶斯网络模型的网络安全风险定量评估

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This paper proposes a quantitative model for assessing cyber security risk in information security. The model can be used to evaluate the security readiness of firms in the marketplace through qualitative and quantitative tools. We propose a Bayesian network methodology that can be used to generate a cyber security risk score that takes as input a firm's security profile and data breach statistics. The quantitative model enables cyber risk to be captured in a precise and comparable fashion. The objective of the scoring model is to create a common reference in the marketplace that could enhance incentives for firms to invest and improve their security systems. This paper concludes with a demonstration of scoring an intrusion detection network.
机译:本文提出了一种评估信息安全中网络安全风险的定量模型。该模型可用于通过定性和定量工具评估市场中公司的安全准备情况。我们提出了一种贝叶斯网络方法,该方法可用于生成网络安全风险评分,该评分将公司的安全概况和数据泄露统计信息作为输入。定量模型使网络风险能够以精确且可比较的方式捕获。评分模型的目的是在市场上创建通用参考,以增强企业投资和改善其安全系统的动机。本文以对入侵检测网络进行评分的演示作为结束。

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