Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique

Brentan, Bruno; Rezende, Pedro; Barros, Daniel; Meirelles, Gustavo; Luvizotto, Edevar; Izquierdo, Joaquín

doi:10.3390/w13060795

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Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique

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Edevar Luvizotto, Jr.

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Joaquín Izquierdo

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Hydraulic Engineering and Water Resources Department, School of Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil

Fluing-Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 Valencia, Spain

Laboratory of Computational Hydraulics, School of Civil Engineering, Architecture and Urban Design, University of Campinas, Campinas 13083-889, Brazil

Author to whom correspondence should be addressed.

Academic Editors: Marco Franchini and Francesco De Paola

Water 2021, 13(6), 795; https://doi.org/10.3390/w13060795

Received: 30 December 2020 / Revised: 8 March 2021 / Accepted: 11 March 2021 / Published: 14 March 2021

(This article belongs to the Special Issue Smart Urban Water Networks)

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Abstract

Service quality and efficiency of urban systems have been dramatically boosted by various high technologies for real-time monitoring and remote control, and have also gained privileged space in water distribution. Monitored hydraulic and quality parameters are crucial data for developing planning, operation and security analyses in water networks, which makes them increasingly reliable. However, devices for monitoring and remote control also increase the possibilities for failure and cyber-attacks in the systems, which can severely impair the system operation and, in extreme cases, collapse the service. This paper proposes an automatic two-step methodology for cyber-attack detection in water distribution systems. The first step is based on signal-processing theory, and applies a fast Independent Component Analysis (fastICA) algorithm to hydraulic time series (e.g., pressure, flow, and tank level), which separates them into independent components. These components are then processed by a statistical control algorithm for automatic detection of abrupt changes, from which attacks may be disclosed. The methodology is applied to the case study provided by the Battle of Attack Detection Algorithms (BATADAL) and the results are compared with seven other approaches, showing excellent results, which makes this methodology a reliable early-warning cyber-attack detection approach. View Full-Text

Keywords: water distribution systems; cyber-attack detection; blind sources separation; FastICA

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Brentan, B.; Rezende, P.; Barros, D.; Meirelles, G.; Luvizotto, E., Jr.; Izquierdo, J. Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique. Water 2021, 13, 795. https://doi.org/10.3390/w13060795

AMA Style

Brentan B, Rezende P, Barros D, Meirelles G, Luvizotto E Jr., Izquierdo J. Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique. Water. 2021; 13(6):795. https://doi.org/10.3390/w13060795

Chicago/Turabian Style

Brentan, Bruno, Pedro Rezende, Daniel Barros, Gustavo Meirelles, Edevar Luvizotto Jr., and Joaquín Izquierdo. 2021. "Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique" Water 13, no. 6: 795. https://doi.org/10.3390/w13060795

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