A HYBRID NEURAL NETWORK AND RULE-BASED SYSTEM FOR BEHAVIORAL CBRN (BCBRN) REAL-TIME ASSESSMENT

"The objective of this research is to develop a behaviorally-based risk/threat assessment system that can determine the validity of threats directed against American assets and ultimately suggest likely scenarios of attack based on assessed vulnerabilities.This counter-terrorism system is proposed to be an intelligence-based behavioral system based on a well-tested behavioral model. Previous research has exhibited both reliable and valid results. It is proposed that the technology underlying the model beextended to the public and corporate sectors as a commercial product. It is important for corporations and organizations that are faced with an actual attack or threat of an attack to first ascertain whether the apparent or impending threat is real or ahoax. Once this determination is made, a viable system would suggest attack scenarios and subsequent security recommendations. The focus of this proposed system will be on the behavior displayed by those who have attacked, either by launching a realattack or creating a hoax or false attack. Corporations and organizations also display behavioral characteristics, which may identify them as being more or less vulnerable as a target. The system is termed, BCBRN, to include behavioral, chemical,biological, radiological, and nuclear incidents of asymmetric activity. U.S. based corporations and organizations face an increased likelihood of a chemical, biological, radiological, or nuclear