| Autor: |
Riccardo Taormina, Stefano Galelli, Nils Ole Tippenhauer, Elad Salomons, Avi Ostfeld, Demetrios G Eliades, Mohsen Aghashahi, Raanju Sundararajan, Mohsen Pourahmadi, M Katherine Banks, B M Brentan, Enrique Campbell, G Lima, D Manzi, D Ayala-Cabrera, M Herrera, I Montalvo, J Izquierdo, E Luvizotto, Sarin E Chandy, Amin Rasekh, Zachary A Barker, Bruce Campbell, M Ehsan Shafiee, Marcio Giacomoni, Nikolaos Gatsis, Ahmad Taha, Ahmed A Abokifa, Kelsey Haddad, Cynthia S Lo, Pratim Biswas, M Fayzul K Pasha, Bijay Kc, Saravanakumar Lakshmanan Somasundaram, Mashor Housh, Ziv Ohar |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
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 increased in the past few years along with the adoption of smart water technologies. The design challenge was set for 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 datasets containing (simulated) SCADA observations, and challenged with the design of 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 & Water Resources Congress), in Sacramento, on May 21-25, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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