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.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 2.8 MB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 16 |
| Published : | 11/01/2009 |
