Published March 2, 2018 | Version v1
Journal article Open

THE BATTLE OF THE ATTACK DETECTION ALGORITHMS: DISCLOSING CYBER ATTACKS ON WATER DISTRIBUTION NETWORKS

  • 1. Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372
  • 2. OptiWater, 6 Amikam Israel St., Haifa 3438561, Israel
  • 3. Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa 32000, Israel
  • 4. KIOS Research and Innovation Center of Excellence, University of Cyprus, 75 Kallipoleos Avenue, CY- 1678, Nicosia, Cyprus.
  • 5. Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX
  • 6. Dept. of Statistics, Texas A&M Univ., College Station, TX
  • 7. CRAN, Universitet de Lorraine, Nancy, France
  • 8. Universitat Politècnica de València, Valencia, Spain, Berliner Wasserbetriebe, Berlin, Germany
  • 9. Universidade Estadual de Campinas, Campinas, Brazil
  • 10. Irstea, Cestas, France
  • 11. Univ. of Bath, Bath, U.K
  • 12. Ingeniousware GmbH, Karlsruhe, Germany
  • 13. Universitat Politècnica de València, Valencia, Spain
  • 14. Sensus Inc., 8601 Six Forks Rd., Suite 700, Raleigh, NC 27615
  • 15. Dept. of Civil and Environmental Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249
  • 16. Dept. of Electrical and Computer Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249
  • 17. Dept. of Energy, Environmental, and Chemical Engineering, Washington Univ., St. Louis
  • 18. Dept. of Civil and Geomatics Engineering, California State Univ., Fresno, CA 93740
  • 19. Faculty of Management, Dept. of Natural Resources and Environmental Management, Univ. of Haifa, Haifa, Israel

Description

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.

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