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dc.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
dc.date.accessioned2019-02-26T07:35:57Z
dc.date.available2019-02-26T07:35:57Z
dc.date.issued2018
dc.identifier.other%28ASCE%29WR.1943-5452.0000969.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248159
dc.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.
dc.publisherAmerican Society of Civil Engineers
dc.titleBattle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks
dc.typeJournal Paper
dc.journal.volume144
dc.journal.issue8
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0000969
dc.page4018048
dc.treeJournal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 008
dc.contenttypeFulltext


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