Process-Aware Cyberattacks for Thermal Desalination Plants

Prashant Hari Narayan Rajput, P. Rajput, Marios Sazos, M. Maniatakos
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引用次数: 10

Abstract

In 2017, desalination industry was contracted to produce 99.8 million m3/d of fresh water globally. In regions with a natural shortage of fresh water, desalination contributes up to 70% of drinking water. While state-of-the-art research has focused on securing the power grid, water treatment plants, and other critical infrastructure, not much attention has been given towards desalination plants. In this work, we perform interdisciplinary cyber threat analysis on a desalination plant model, presenting cyberattacks and analyzing their effect on the plant performance and equipment both from economics and mechanical engineering perspective. Our analysis shows that cyber actors can perform extensive financial damage by affecting the performance of the plant. We also perform control volume analysis and finite element analysis studies to investigate the possibility of Stuxnet-like attacks with the potential to cause mechanical damage and equipment failure.
热脱盐工厂的过程感知网络攻击
2017年,全球海水淡化行业签约生产淡水9980万立方米/天。在淡水自然短缺的地区,海水淡化提供了高达70%的饮用水。虽然最先进的研究集中在确保电网、水处理厂和其他关键基础设施的安全上,但对海水淡化厂的关注并不多。在这项工作中,我们对一个海水淡化厂模型进行了跨学科的网络威胁分析,从经济学和机械工程的角度展示了网络攻击并分析了它们对工厂性能和设备的影响。我们的分析表明,网络行为者可以通过影响工厂的性能来造成广泛的经济损失。我们还进行控制体积分析和有限元分析研究,以调查类似震网的攻击的可能性,这些攻击可能导致机械损坏和设备故障。
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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