Water distribution systems analysis symposium-battle of the attack detection algorithms (BATADAL)

Mohsen Aghashahi, Raanju Sundararajan, Mohsen Pourahmadi, Margaret Katherine Banks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

With the transition of water distribution systems (WDSs) to smarter ones, intelligent water networks' elements, such as programmable logic controls (PLCs), sensors, valves and supervisory control and data acquisition systems (SCADAs) have played a more significant role. Like other computer-based technologies, these smart elements will make WDSs more vulnerable to malicious intrusions due to cyber-physical attacks. Regarding the vulnerability of more intelligent WDSs, it is necessary to devise and apply anomaly detection algorithms being able to detect intrusions to water networks with the fewest false alarms. For the battle of the attack detection algorithms (BATADAL), to detect the manipulated data, a spectral domain method as a pre-processing technique is implemented to extract the important characteristics of the observed time series data and make them independent of time. Then, a supervised machine learning technique is used to classify the data and obtain the intrusion detection.

Original languageEnglish (US)
Title of host publicationWorld Environmental and Water Resources Congress 2017
Subtitle of host publicationInternational Perspectives, History and Heritage, Emerging Technologies, and Student Papers - Selected Papers from the World Environmental and Water Resources Congress 2017
PublisherAmerican Society of Civil Engineers (ASCE)
Pages101-108
Number of pages8
ISBN (Electronic)9780784480595
DOIs
StatePublished - 2017
Event17th World Environmental and Water Resources Congress 2017 - Sacramento, United States
Duration: May 21 2017May 25 2017

Other

Other17th World Environmental and Water Resources Congress 2017
CountryUnited States
CitySacramento
Period5/21/175/25/17

ASJC Scopus subject areas

  • Environmental Science(all)

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