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

    Source: Journal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 008
    Author:
    Taormina 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
    DOI: 10.1061/(ASCE)WR.1943-5452.0000969
    Publisher: American Society of Civil Engineers
    Abstract: The 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.
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      Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks

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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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