Quantifying Failure for Critical Water Infrastructures under Cyber-Physical Threats

Moraitis, George; Nikolopoulos, Dionysios; Bouziotas, Dimitrios; Lykou, Archontia; Karavokiros, George; Makropoulos, Christos

doi:10.1061/(asce)ee.1943-7870.0001765

Cited by 17 publications

(11 citation statements)

References 58 publications

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“…break pipes or add leaks). WNTR has also been used to simulate other disaster scenarios such as pipe breaks (Logan et al, 2021;Mazumder et al, 2020;Tomar et al, 2020), power loss or source isolation (Abdel-Mottaleb et al, 2019), and cyber-security related incidences (Moraitis et al, 2020;Nikolopoulos et al, 2021). The results from these types of applications can be used to identify important system components that help improve system resilience.…”

Section: Water Network Tool For Resiliencementioning

confidence: 99%

Embracing Analytics in the Drinking Water Industry

2022

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Analytics can support numerous aspects of water industry planning, management, and operations. Given this wide range of touchpoints and applications, it is becoming increasingly imperative that the championship and capability of broad-based analytics needs to be developed and practically integrated to address the current and transitional challenges facing the drinking water industry. Analytics will contribute substantially to future efforts to provide innovative solutions that make the water industry more sustainable and resilient. The purpose of this book is to introduce analytics to practicing water engineers so they can deploy the covered subjects, approaches, and detailed techniques in their daily operations, management, and decision-making processes. Also, undergraduate students as well as early graduate students who are in the water concentrations will be exposed to established analytical techniques, along with many methods that are currently considered to be new or emerging/maturing. This book covers a broad spectrum of water industry analytics topics in an easy-to-follow manner. The overall background and contexts are motivated by (and directly drawn from) actual water utility projects that the authors have worked on numerous recent years. The authors strongly believe that the water industry should embrace and integrate data-driven fundamentals and methods into their daily operations and decision-making process(es) to replace established “rule-of-thumb” and weak heuristic approaches – and an analytics viewpoint, approach, and culture is key to this industry transformation. ISBN: 9781789062373 (paperback) ISBN: 9781789062380 (eBook) ISBN: 9781789062397 (ePub)

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Section: Water Network Tool For Resiliencementioning

confidence: 99%

Embracing Analytics in the Drinking Water Industry

2022

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“…A small number of studies worked on methods to support risk and resilience management. Moraitis et al [110] describes a methodology to quantify the impact of cyber-physical attacks on water distribution networks. The methodology is based on quantifying failures described under categories (magnitude, propagation, severity, crest factor, rapidity) against user-defined service levels.…”

Section: Risk and Resilience Managementmentioning

confidence: 99%

A Systematic Review of the State of Cyber-Security in Water Systems

Tuptuk

Hazell

Watson

et al. 2021

Water

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Critical infrastructure systems are evolving from isolated bespoke systems to those that use general-purpose computing hosts, IoT sensors, edge computing, wireless networks and artificial intelligence. Although this move improves sensing and control capacity and gives better integration with business requirements, it also increases the scope for attack from malicious entities that intend to conduct industrial espionage and sabotage against these systems. In this paper, we review the state of the cyber-security research that is focused on improving the security of the water supply and wastewater collection and treatment systems that form part of the critical national infrastructure. We cover the publication statistics of the research in this area, the aspects of security being addressed, and future work required to achieve better cyber-security for water systems.

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“…Uncertainty related to both short-and longer-term stresses needs to be considered using stochastically generated inputs and parameters (e.g., synthetic supply and demand patterns), as well as scenario-based approaches [21]. In a Monte Carlo context, these alternative scenarios can be used as inputs to stress-test alternative system designs under a variety of future conditions, including specific threats, such as cyber-physical attacks (see [9,[22][23][24]). Stochastic computational methods can also be used to generate valid topologies of UWS subsystems and test their designs (such as, for example the approach adopted by Zhang et al [25] assessing combined sewer systems' resilience).…”

Section: Introductionmentioning

confidence: 99%

Stress-Testing Framework for Urban Water Systems: A Source to Tap Approach for Stochastic Resilience Assessment

Nikolopoulos

Kossieris

Tsoukalas

et al. 2022

Water

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Optimizing the design and operation of an Urban Water System (UWS) faces significant challenges over its lifespan to account for the uncertainties of important stressors that arise from population growth rates, climate change factors, or shifting demand patterns. The analysis of a UWS’s performance across interdependent subsystems benefits from a multi-model approach where different designs are tested against a variety of metrics and in different times scales for each subsystem. In this work, we present a stress-testing framework for UWSs that assesses the system’s resilience, i.e., the degree to which a UWS continues to perform under progressively increasing disturbance (deviation from normal operating conditions). The framework is underpinned by a modeling chain that covers the entire water cycle, in a source-to-tap manner, coupling a water resources management model, a hydraulic water distribution model, and a water demand generation model. An additional stochastic simulation module enables the representation and modeling of uncertainty throughout the water cycle. We demonstrate the framework by “stress-testing” a synthetic UWS case study with an ensemble of scenarios whose parameters are stochastically changing within the UWS simulation timeframe and quantify the uncertainty in the estimation of the system’s resilience.

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Quantifying Failure for Critical Water Infrastructures under Cyber-Physical Threats

Cited by 17 publications

References 58 publications

Embracing Analytics in the Drinking Water Industry

Embracing Analytics in the Drinking Water Industry

A Systematic Review of the State of Cyber-Security in Water Systems

Stress-Testing Framework for Urban Water Systems: A Source to Tap Approach for Stochastic Resilience Assessment

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