Characterizing Cyber-Physical Attacks on Water Distribution Systems

Taormina, Riccardo; Galelli, Stefano; Tippenhauer, Nils Ole; Salomons, Elad; Ostfeld, Avi

doi:10.1061/(asce)wr.1943-5452.0000749

Cited by 147 publications

(94 citation statements)

References 30 publications

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“…As shown in Table 1 sponse of a water distribution network (Taormina et al 2017). The toolbox is available 125 at https://github.com/rtaormina/epanetCPA.…”

mentioning

confidence: 99%

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Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks

Taormina

Galelli

Tippenhauer

et al. 2018

J. Water Resour. Plann. Manage.

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156

114

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“…As shown in Table 1 sponse of a water distribution network (Taormina et al 2017). The toolbox is available 125 at https://github.com/rtaormina/epanetCPA.…”

mentioning

confidence: 99%

“…A limitation of this battle 418 is its reliance of data generated with a demand-driven engine (Taormina et al 2017). …”

mentioning

confidence: 99%

Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks

Taormina

Galelli

Tippenhauer

et al. 2018

J. Water Resour. Plann. Manage.

Self Cite

156

114

View full text Add to dashboard Cite

“…With the enormous advancement in cyber technologies such as sensors, meters, and controllers, embedding cyber networks into the water infrastructure systems, called water cyber-physical systems, has recently emerged as a popular option to monitor and control system operational conditions [82][83][84]. In this context, there have recently been many efforts to evaluate and improve the detection capability of water systems.…”

Section: Discussion On Rapid Recovery Of Disrupted Systemmentioning

confidence: 99%

A Systematic Review of Quantitative Resilience Measures for Water Infrastructure Systems

Shin

Lee

Judi

et al. 2018

Water

142

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Abstract:Over the past few decades, the concept of resilience has emerged as an important consideration in the planning and management of water infrastructure systems. Accordingly, various resilience measures have been developed for the quantitative evaluation and decision-making of systems. There are, however, numerous considerations and no clear choice of which measure, if any, provides the most appropriate representation of resilience for a given application. This study provides a critical review of quantitative approaches to measure the resilience of water infrastructure systems, with a focus on water resources and distribution systems. A compilation of 11 criteria evaluating 21 selected resilience measures addressing major features of resilience is developed using the Axiomatic Design process. Existing gaps of resilience measures are identified based on the review criteria. The results show that resilience measures have generally paid less attention to cascading damage to interrelated systems, rapid identification of failure, physical damage of system components, and time variation of resilience. Concluding the paper, improvements to resilience measures are recommended. The findings contribute to our understanding of gaps and provide information to help further improve resilience measures of water infrastructure systems.

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“…The simultaneous failure of multiple meters can also be considered, but this is of low likelihood under most accidental failure conditions [4]. In such multiple failure conditions, a WDS manager would want to implement a recovery plan instead of utilizing minimal data received from the impaired meter network.…”

Section: Meter Network's Robustnessmentioning

confidence: 99%

“…In the current hyper-connected world, meter networks are exposed to meter failure conditions, including malfunction of the meter's physical system and communication system failure. Cyberattacks are now a major reason for meter failure [3,4]. Therefore, a meter network's robustness should be secured for reliable provision of informative meter data.…”

Section: Introductionmentioning

confidence: 99%

Robust Meter Network for Water Distribution Pipe Burst Detection

Jung

Kim

2017

Water

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Abstract:A meter network is a set of meters installed throughout a water distribution system to measure system variables, such as the pipe flow rate and pressure. In the current hyper-connected world, meter networks are being exposed to meter failure conditions, such as malfunction of the meter's physical system and communication system failure. Therefore, a meter network's robustness should be secured for reliable provision of informative meter data. This paper introduces a multi-objective optimal meter placement model that maximizes the detection probability, minimizes false alarms, and maximizes the robustness of a meter network given a predefined number of meters. A meter network's robustness is defined as its ability to consistently provide quality data in the event of meter failure. Based on a single-meter failure simulation, a robustness indicator for the meter network is introduced and maximized as the third objective of the proposed model. The proposed model was applied to the Austin network to determine the independent placement of pipe flow and pressure meters with three or five available meters. The results showed that the proposed model is a useful tool for determining meter locations to secure high detectability and robustness.

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Characterizing Cyber-Physical Attacks on Water Distribution Systems

Cited by 147 publications

References 30 publications

Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks

Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks

A Systematic Review of Quantitative Resilience Measures for Water Infrastructure Systems

Robust Meter Network for Water Distribution Pipe Burst Detection

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