A Monte-Carlo Analysis of Monetary Impact of Mega Data Breaches

M. Canan, Omer Ilker Poyraz, Anthony Akil
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Abstract

The monetary impact of mega data breaches has been a significant concern for enterprises. The study of data breach risk assessment is a necessity for organizations to have effective cybersecurity risk management. Due to the lack of available data, it is not easy to obtain a comprehensive understanding of the interactions among factors that affect the cost of mega data breaches. The Monte Carlo analysis results were used to explicate the interactions among independent variables and emerging patterns in the variation of the total data breach cost. The findings of this study are as follows: The total data breach cost varies significantly with personally identifiable information (PII) and sensitive personally identifiable information (SPII) with unique patterns. Second, SPII must be a separate independent variable. Third, the multilevel factorial interactions between SPII and the other independent variables elucidate subtle patterns in the total data breach cost variation. Fourth, class action lawsuit (CAL) categorical variables regulate the variation in the total data breach cost.
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大型数据泄露对货币影响的蒙特卡罗分析
大型数据泄露的经济影响一直是企业关注的一个重大问题。研究数据泄露风险评估是组织进行有效网络安全风险管理的必要条件。由于缺乏可用数据,要全面了解影响大型数据泄露成本的因素之间的相互作用并不容易。蒙特卡罗分析结果解释了数据泄露总成本变化中自变量之间的相互作用和新出现的模式。研究发现:个人身份信息(PII)和敏感个人身份信息(SPII)具有独特的模式,数据泄露总成本差异显著。其次,SPII必须是一个独立的自变量。第三,spi与其他自变量之间的多层次析因相互作用阐明了数据泄露总成本变化的微妙模式。第四,集体诉讼(CAL)分类变量调节了数据泄露总成本的变化。
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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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