AWWA WSC70056

This powerpoint presentation begins by providing a brief overview of disruptions to municipal drinking water and wastewater systems. The study objective was to estimate the likelihood that an act of intentional disruption would be executed on a municipal water system in a given period. The approach included: data fusion - combine multisource, multiformat data to support timely interpretation and efficient use of information; information - intelligence (surveillance, financial, cyber), and operations (static, dynamic); and, simulation - detect and visualize potential threats, and generate data for statistical analyses. An example is presented of a 2-week simulation period involving 1,000+ synthetic intelligence data items at a municipal water system, and 20 composed "blind" threats embedded with synthetic intelligence data. Presentation summary included the following points: simulation-based data fusion efficiently detects potential security threats to municipal drinking water and wastewater assets; results of blind experiment show over 90% detection accuracy for composed threats embedded within large volumes of intelligence and operational data; post-hoc analysis estimates the likelihood of potential threats based on user-defined threat criteria; and, data fusion platform can provide timely decision support for water security-information collaboratives.