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Modeling the Ripple Effects of IT-Based Incidents on Interdependent Economic Systems

机译:建模基于IT的事件对相互依赖的经济系统的涟漪效应

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The information technology (IT) sector is one of the most critically utilized infrastructures within the U.S. economic system. The IT sector is vulnerable to man-made attacks and it is challenging to assess the consequences of disruptions to the production and delivery of essential IT services to other economic systems. In this paper, we developed a dynamic model based on economic input-output analysis to assess time-varying disruptions on the IT sector over multiple periods. The model is applied in an ex post analysis of an actual denial-of-service (DoS) attack scenario on the IT infrastructure to estimate the consequences propagated to interdependent economic systems. The model uses Bureau of Economic Analysis data to simulate the effects of IT-based incidents and subsequently identify the critically affected economic sectors. Key results of the case study include assessments of ripple effects to vulnerable sectors in the form of inoperability and economic loss measures. An investigation of the DoS attack in year 2000 using the proposed dynamic model revealed significant losses that are consistent with the magnitude of losses from previous studies. Furthermore, the model is capable of depicting the breakdown of losses across various economic sectors, which is a significant improvement relative to previously published results. This research also extends into a multiyear trend analysis (1999-2009) to aid in developing policies for reducing the effects of IT risks across the interdependent sectors of the U.S. economy. (C) 2014 Wiley Periodicals, Inc.
机译:信息技术(IT)部门是美国经济体系中使用最广泛的基础架构之一。 IT部门容易受到人为攻击,因此评估中断对将基本IT服务生产和交付给其他经济系统的后果具有挑战性。在本文中,我们基于经济投入产出分析开发了一个动态模型,以评估多个时期IT部门的时变中断。该模型用于对IT基础架构上的实际拒绝服务(DoS)攻击场景进行事后分析,以估计传播到相互依赖的经济系统的后果。该模型使用经济分析局的数据来模拟基于IT的事件的影响,并随后确定受到严重影响的经济部门。案例研究的主要结果包括以不可操作性和经济损失措施的形式评估对脆弱部门的连锁反应。使用提议的动态模型对2000年DoS攻击进行的调查显示,重大损失与先前研究的损失幅度一致。此外,该模型能够描述各个经济部门的损失明细,相对于先前公布的结果而言,这是一项重大改进。这项研究还扩展到一项多年趋势分析(1999-2009),以帮助制定政策来降低美国经济中相互依赖的部门之间IT风险的影响。 (C)2014威利期刊公司

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