A Systematic Review of the State of Cyber-Security in Water Systems
Open accessAbstract
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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Water utilities depend on operational technology (OT) and Supervisory Control and Data Acquisition (SCADA) systems to monitor, control, and optimize water treatment and distribution.
“they have ended up depending on operational technology (OT) and Supervisory Control and Data Acquisition (SCADA) systems to monitor, control, and optimize the processes of water treatment and distribution”
From Cyber-Physical Risk Assessment for U.S. Water Utilities: A Comprehensive Analysis of SCADA and Operational Technology Vulnerabilities (2025) · cites this paper as Tuptuk et al., 2021
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“Preventive measures are security controls implemented to prevent attacks such as authentication; access control; network segmentation; maintaining confidentiality and integrity of transmitted data and in storage using cryptographic techniques; patching software vulnerabilities; deploying usable and effective security…”
BackgroundMethodInfluentialA Dataset to Support Research in the Design of Secure Water Treatment Systems
Goh, J., Adepu, S., Junejo, K. N., & Mathur, A. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-71368-7_8 · Cited by 729 · cited 3× · see citing works
“One of the widely studied datasets in cyber-security research is the SWaT dataset [50] containing normal data streams collected from 51 sensors and actuators collected over 7 days, and attack data consisting of 41 attacks carried out over a period of 4 days.”
BackgroundMethodBattle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks
Taormina, R., Galelli, S., Tippenhauer, N. O., Salomons, E., Ostfeld, A., Eliades, D. G., Aghashahi, M., Sundararajan, R., Pourahmadi, M., Banks, M. K., et al. (2018) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0000969 · Cited by 277 · cited 3× · see citing works
“…for research in cyber-security at Singapore University of Technology and Design [46], and the BATADAL (BATtle of the Attack Detection Algorithms) competition organised by iTrust center and their international collaborators [47] to detect cyber-attacks against water distribution systems (WSD).”
BackgroundInfluentialBattle of the Water Calibration Networks
Ostfeld, A., Salomons, E., Ormsbee, L., Uber, J. G., Bros, C. M., Kalungi, P., Burd, R., Zazula-Coetzee, B., Belrain, T., Kang, D., et al. (2012) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0000191 · Cited by 192 · see citing works
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Water Distribution Systems Analysis Symposium–Battle of the Attack Detection Algorithms (BATADAL)
Aghashahi, M., Sundararajan, R., Pourahmadi, M., & Banks, M. K. (2017) · World Environmental and Water Resources Congress 2017 · doi:10.1061/9780784480595.010 · Cited by 30 · cited 1× · see citing works
“Aghashahi et al. [90] first extracted features related to the characteristics of the attack and no-attack data by using a covariance matrix and distance measure of every data point.”
MethodAn Approach to Detect the Cyber-Physical Attack on Water Distribution System
Pasha, M. F. K., Kc, B., & Somasundaram, S. L. (2017) · World Environmental and Water Resources Congress 2017 · doi:10.1061/9780784480625.065 · Cited by 24 · see citing works
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Aniebonam, S. O., & Aniebonam, C. P. (2025) · Journal of Environment, Climate, and Ecology · doi:10.69739/jece.v2i1.1031
- Authors
- Tuptuk, N., Hazell, P., Watson, J., & Hailes, S.
- Affiliations
- University College London (GB)
- Kelda Group (United Kingdom) (GB)
- Corresponding author
- Tuptuk, Nilufer
- Venue
- Water
- Publisher
- MDPI AG
- Published
- 2021-01-01
- Volume
- 13
- Issue
- 1
- Pages
- 81
- ISSN
- 2073-4441 (ISSN-L)
- OpenAlex
- W3114378810
- Cited by
- 138
- References
- 8
- Citations by year
- 2026: 26 · 2025: 23 · 2024: 22 · 2023: 36 · 2022: 22 · 2021: 9
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Water (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/S035362/1)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Social Sciences › Political Science and International Relations › Cybersecurity and Cyber Warfare Studies
- Keywords
- cybersecurity, water systems, critical infrastructure, water supply, wastewater treatment, industrial espionage, sabotage, Internet of Things, edge computing, artificial intelligence, wireless networks, research trends
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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