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

作者：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; Montalvo I; Izquierdo J; Luvizotto E Jr; Chandy Sarin E; Rasekh Amin; Barker Zachary A; Campbell Bruce; Shafiee M Ehsan; Giacomoni Marcio; Gatsis Nikolaos; Taha Ahmad; Abokifa Ahmed A

来源：Journal of Water Resources Planning and Management, 2018, 144(8): 04018048.

DOI：10.1061/(ASCE)WR.1943-5452.0000969

• Water distribution systems
• Cyber-physical attacks
• Cyber security
• EPANET
• Smart water networks
• Attack detection

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.

• 出版日期2018-8