Battle of the Attack Detection Algorithms: Disclosing cyber attacks on water distribution networks

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. ChandyAmin 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, Bijay Kc, Saravanakumar Lakshmanan Somasundaram, Mashor Housh, Ziv Ohar

Research output: Contribution to journalArticlepeer-review

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, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions.

Original languageEnglish
Article number04018048
JournalJournal of Water Resources Planning and Management - ASCE
Volume144
Issue number8
DOIs
StatePublished - 1 Aug 2018

Bibliographical note

Funding Information:
Riccardo Taormina, Stefano Galelli, and Nils Ole Tippenhauer are supported by the National Research Foundation (NRF), Singapore, under its National Cybersecurity R&D Programme (Award No. NRF2014NCR-NCR001-40). Demetrios Eliades is supported by the European Union's Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE). Mohsen Aghashahi and M. Katherine Banks are supported by Qatar National Research Fund (QNRF) under the grant NPRP8-1292-2-548. B. M. Brentan, Enrique Campbell, G. Lima, D. Manzi, D. Ayala-Cabrera, M. Herrera, I. Montalvo, J. Izquierdo, and E. Luvizotto Jr. are supported CAPES and CNPq founding agencies. The work of Marcio Giacomoni, Nikolaos Gatsis, and Ahmad Taha is supported by the US National Science Foundation under Grant No. 1728629. Ahmed Abokifa, Kelsey Haddad, Cynthia Lo, and Pratim Biswas' work was carried out with the partial support from the Lucy and Stanley Lopata Endowment at Washington University in St. Louis

Publisher Copyright:
© 2018 American Society of Civil Engineers.

Keywords

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

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

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