TY - JOUR
T1 - Battle of the Attack Detection Algorithms
T2 - Disclosing cyber attacks on water distribution networks
AU - Taormina, Riccardo
AU - Galelli, Stefano
AU - Tippenhauer, Nils Ole
AU - Salomons, Elad
AU - Ostfeld, Avi
AU - Eliades, Demetrios G.
AU - Aghashahi, Mohsen
AU - Sundararajan, Raanju
AU - Pourahmadi, Mohsen
AU - Banks, M. Katherine
AU - Brentan, B. M.
AU - Campbell, Enrique
AU - Lima, G.
AU - Manzi, D.
AU - Ayala-Cabrera, D.
AU - Herrera, M.
AU - Montalvo, I.
AU - Izquierdo, J.
AU - Luvizotto, E.
AU - Chandy, Sarin E.
AU - Rasekh, Amin
AU - Barker, Zachary A.
AU - Campbell, Bruce
AU - Shafiee, M. Ehsan
AU - Giacomoni, Marcio
AU - Gatsis, Nikolaos
AU - Taha, Ahmad
AU - Abokifa, Ahmed A.
AU - Haddad, Kelsey
AU - Lo, Cynthia S.
AU - Biswas, Pratim
AU - Fayzul, M.
AU - Kc, Bijay
AU - Somasundaram, Saravanakumar Lakshmanan
AU - Housh, Mashor
AU - Ohar, Ziv
N1 - Publisher Copyright:
© 2018 American Society of Civil Engineers.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions.
AB - 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, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions.
KW - Attack detection
KW - Cyber security
KW - Cyber-physical attacks
KW - EPANET
KW - Smart water networks
KW - Water distribution systems
UR - http://www.scopus.com/inward/record.url?scp=85048347536&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)WR.1943-5452.0000969
DO - 10.1061/(ASCE)WR.1943-5452.0000969
M3 - Article
AN - SCOPUS:85048347536
SN - 0733-9496
VL - 144
JO - Journal of Water Resources Planning and Management - ASCE
JF - Journal of Water Resources Planning and Management - ASCE
IS - 8
M1 - 04018048
ER -