RiSKi:数据泄露保险风险评估的网络威胁建模框架

A. Panou, Christoforos Ntantogian, C. Xenakis
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引用次数: 9

摘要

从历史上看,网络安全投资的财务效益并没有按照用于评估其他物质投资的相同财务准则进行计算。这主要是由于缺乏关于网络事件影响的现成数据和支持网络投资有效性的系统方法。在本文中,我们提出了一个名为RiSKi的创新网络投资管理框架,在法律允许的范围内,该框架包含对内部人员社会行为的检测和持续监控,以主动解决隐含的异常和威胁及其潜在的业务影响和风险。此外,它还提供对已发布的安全事件数据的访问,使企业能够提高对网络安全的理解,提高对与网络泄露相关的威胁和后果的认识,并最终实现从事件中更快地恢复。RiSKI利用上述信息,采用了一种方法,并开发了一种支持基于场景的网络投资工具,用于量化网络安全投资的收益,以对抗潜在网络风险可能影响企业运营的多种方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RiSKi: A Framework for Modeling Cyber Threats to Estimate Risk for Data Breach Insurance
Historically, the financial benefits of cyber security investments have not been calculated with the same financial discipline used to evaluate other material investments. This was mainly due to a lack of readily available data on cyber incidents impacts and systematic methodology to support the efficacy of cyber investments. In this paper we propose an innovative, cyber investment management framework named RiSKi that incorporates detection and continuous monitoring of insiders societal behavior, to the extent permitted by the law, to proactively address implied anomalies and threats and their potential business impact and risks. Moreover, it provides access to published security incidents data to enable businesses to advance their understanding of cybersecurity and awareness of the threats and consequences related to cyber breaches, and, eventually, enable faster recovery from an event. RiSKI armed with the above information, employs a methodology, and develops a supporting scenario-based cyber investment tool, for quantifying the benefits of cybersecurity investments against the many ways that potential cyber risks can affect the operation of a business.
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