A Hybrid Neural Network and Rule-Based System for Behavioral CBRN (BCBRN) Real-Time Assessment

The ABC Behavioral model, pattern classification methodology, and an expert, rule based system are proposed as key approaches to: (1) capture relevant historical data from actual CBRN cases to extract patterns among environmental events and organizationcharacteristics, and (2) augment historical data with CBRN agent-specific characteristics to provide an enhanced predictive system. The purpose of the application is to construct a CBRN assessment instrument accessible on the web that may be used todetermine the likelihood of threat of CBRN attack as directed toward the organization completing the assessment and, as a result of the assessment, to receive recommendations if threat is determined. Using well-tested, reliable, and validated modelingmethodologies developed for DARPA, the CBRN assessment instrument proposal expands this past work to the specific area of asymmetric CBRN threat and applied threat assessment.