Ransomware scenario oriented financial quantification model for the financial sector

Ricardo Ochoa, Diego Ticse, Emilio Herrera, Jose Vargas
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引用次数: 1

Abstract

More and more companies are becoming victims of cyber-attacks and most of these attacks are the result of a ransomware infection. Currently, there are few organizations that perform a quantitative analysis of cyber risks, allowing them to calculate their impact in monetary terms. In this paper, we propose a model with a quantitative approach, so that organizations can express in financial terms the potential impact of a ransomware attack. The proposed model was implemented in a process of a Peruvian company in the financial sector, with which an optimization of 32.2% in cybersecurity investment was achieved.
面向勒索软件场景的金融量化模型
越来越多的公司成为网络攻击的受害者,而这些攻击大多是勒索软件感染的结果。目前,很少有组织对网络风险进行定量分析,使他们能够以货币形式计算其影响。在本文中,我们提出了一个定量方法的模型,以便组织可以用财务术语表达勒索软件攻击的潜在影响。提出的模型在秘鲁一家金融公司的流程中实施,实现了网络安全投资32.2%的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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