Assessing the Vulnerabilities of U.S. Drinking Water Systems

Danneels, Jeffrey J.; Finley, R.E.

doi:10.1111/j.1936-704x.2004.mp129001003.x

Cited by 12 publications

(5 citation statements)

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“…In the United States, the USEPA and state regulators have been assessing the vulnerabilities of public water systems in terms of their susceptibility to terrorist attacks (Danneels and Finley 2004). If certain outcomes are likely to make a system more vulnerable than another to a terrorist attack, decision trees could be constructed to try and identify/ predict systems that will be most at risk.…”

Section: Other Data Mining Opportunities Related To Small Drinking Wamentioning

confidence: 99%

Using Data Mining to Understand Drinking Water Advisories in Small Water Systems: a Case Study of Ontario First Nations Drinking Water Supplies

Harvey

Murphy

McBean

et al. 2015

Water Resour Manage

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Although access to safe drinking water is widely assumed to be universal, small drinking water systems in many countries continue to experience an unacceptably large number of drinking water advisories (DWAs). The goal of this research is to describe novel data mining tools that identify the factors contributing to DWAs in small drinking water systems. A dataset containing information related to First Nations drinking water systems in the Province of Ontario, Canada is used for the case study. A decision tree classifier (one of the fastest and most versatile predictive modeling algorithms currently available for data mining) visually maps out the relationship of system characteristics (e.g., source water, system age, and operator certification) to DWA likelihood. The developed model achieves an overall accuracy of 71 % during repeated cross-validation of predictive performance and is of utility when prioritizing future expenditures aimed at proactively reducing the risk of delivering compromised water.

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Section: Other Data Mining Opportunities Related To Small Drinking Wamentioning

confidence: 99%

Using Data Mining to Understand Drinking Water Advisories in Small Water Systems: a Case Study of Ontario First Nations Drinking Water Supplies

Harvey

Murphy

McBean

et al. 2015

Water Resour Manage

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“…The qualitative microbial risk assessment (QMRA) framework can be used as a tool to develop and interpret this type of wastewater monitoring system. Because the threat level drives the risk assessment analysis, a monitoring system should be coordinated with findings from modeling studies on the survival and dispersion of contaminants (Kim et al, 2007;Romero et al, 2008;Sinclair et al, 2008), the contaminant point of introduction (Danneels and Finley, 2004), the health risk (Haas et al, 1999), and the locations of early warning systems/ sensors in wastewater and water treatment systems (Murray et al, 2004).…”

Section: A Monitoring For Human Pathogens In Sewagementioning

confidence: 99%

Pathogen Surveillance Through Monitoring of Sewer Systems

Sinclair

Choi

Riley

et al. 2008

Advances in Applied Microbiology

142

127

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“…Due to the distributed size of WDNs even for smaller settlements, and the practical difficulty of protecting the numerous potential contamination entry points, the policy discourse is concerned with the safety of such systems under various threats. These can stem from deliberate, negligent, or accidental actions [9][10][11], including terrorism [10,[12][13][14][15]. Of growing interest is the special case of cyber-physical threats in the form of cyber-physical attacks (e.g., [16][17][18][19][20][21]) where, for example, a deliberate contamination event (a physical attack) is combined with a cyber-attack on the water quality (WQ) monitoring system of the WDN, usually a sub-system of the main SCADA (supervisory control and data acquisition) system.…”

Section: Introductionmentioning

confidence: 99%

Resilience Assessment of Water Quality Sensor Designs under Cyber-Physical Attacks

Nikolopoulos

Ostfeld

Salomons

et al. 2021

Water

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Water distribution networks (WDNs) are critical infrastructure for the welfare of society. Due to their spatial extent and difficulties in deployment of security measures, they are vulnerable to threat scenarios that include the rising concern of cyber-physical attacks. To protect WDNs against different kinds of water contamination, it is customary to deploy water quality (WQ) monitoring sensors. Cyber-attacks on the monitoring system that employs WQ sensors combined with deliberate contamination events via backflow attacks can lead to severe disruptions to water delivery or even potentially fatal consequences for consumers. As such, the water sector is in immediate need of tools and methodologies that can support cyber-physical quality attack simulation and vulnerability assessment of the WQ monitoring system under such attacks. In this study we demonstrate a novel methodology to assess the resilience of placement schemes generated with the Threat Ensemble Vulnerability Assessment and Sensor Placement Optimization Tool (TEVA-SPOT) and evaluated under cyber-physical attacks simulated using the stress-testing platform RISKNOUGHT, using multidimensional metrics and resilience profile graphs. The results of this study show that some sensor designs are inherently more resilient than others, and this trait can be exploited in risk management practices.

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Assessing the Vulnerabilities of U.S. Drinking Water Systems

Cited by 12 publications

References 0 publications

Using Data Mining to Understand Drinking Water Advisories in Small Water Systems: a Case Study of Ontario First Nations Drinking Water Supplies

Using Data Mining to Understand Drinking Water Advisories in Small Water Systems: a Case Study of Ontario First Nations Drinking Water Supplies

Pathogen Surveillance Through Monitoring of Sewer Systems

Resilience Assessment of Water Quality Sensor Designs under Cyber-Physical Attacks

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