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contributor authorTaormina Riccardo;Galelli Stefano;Tippenhauer Nils Ole;Salomons Elad;Ostfeld Avi;Eliades Demetrios G.;Aghashahi Mohsen;Sundararajan Raanju;Pourahmadi Mohsen;Banks M. Katherine;Brentan B. M.;Campbell Enrique;Lima G.;Manzi D.;Ayala-Cabrera D.;Herrera M.;Mon
date accessioned2019-02-26T07:35:57Z
date available2019-02-26T07:35:57Z
date issued2018
identifier other%28ASCE%29WR.1943-5452.0000969.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248159
description abstractThe BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis Symposium. The goal of the battle was to compare the performance of algorithms for the detection of cyber-physical attacks, whose frequency has increased in the last few years along with the adoption of smart water technologies. The design challenge was set for the C-Town network, a real-world, medium-sized water distribution system operated through programmable logic controllers and a supervisory control and data acquisition (SCADA) system. Participants were provided with data sets containing (simulated) SCADA observations, and challenged to design an attack detection algorithm. The effectiveness of all submitted algorithms was evaluated in terms of time-to-detection and classification accuracy. Seven teams participated in the battle and proposed a variety of successful approaches leveraging data analysis, model-based detection mechanisms, and rule checking. Results were presented at the Water Distribution Systems Analysis Symposium (World Environmental and Water Resources Congress) in Sacramento, California on May 21–25, 217. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions.
publisherAmerican Society of Civil Engineers
titleBattle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks
typeJournal Paper
journal volume144
journal issue8
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0000969
page4018048
treeJournal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 008
contenttypeFulltext


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