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Fuzzy Logic Inferencing in Security Applications
Fuzzy Logic has been around since the 1960’s. There is an open standard for a fuzzy control language, several libraries exist that ease the implementation of applications, and its use is (sometimes unwittingly) necessary in situations where human expertise does not have closed-form expressions for metrics that have “degrees of membership” (think secure vs “very” secure, small vs “really” small, etc.). Since the 1960’s, the uses of fuzzy logic include areas of automatic control, quality control, industrial processes, investment strategies, component testing, pattern recognition, and classification. Applications of information assurance soon followed in multi-level secure database access, network security assessments, threat detection, and risk analysis to name a few.
What this presentation aims to achieve via illustrative examples and demonstrations is to inform the audience on fuzzy logic & inferencing in its application to security.
About the Presenter: Raymond Garcia, Ph.D.
Ray is experienced as both an applied researcher and a practitioner in the public sector and across several areas in the private sector that include the telecommunications, pharmaceutical, and banking industries. Within these industries, Ray has used a variety of technologies in applying natural language processing, numerical techniques, and machine learning to subject matters that include insider threat, information assurance, and situational awareness.
Ray has a BS (Temple U.), ME (Penn State), and Ph.D. (Georgia Tech) in Electrical Engineering with a minor in Applied Mathematics.