INformation fusion engine for real-time decision-making (INFERD): A perceptual system for cyber attack tracking

Abstract

Information fusion engine for real-time decision- making (INFERD) is a perceptual information fusion engine designed and developed for the purpose of cyber attack tracking and network situational awareness. While the original application was cyber orientated, the engine itself is designed to generalize and has been ported to other application environments such as maritime domain awareness and medical syndromic surveillance. Comparisons and contrasts are drawn to the traditional Kalman ground target tracking science, motivating high level architectural modules and presenting the cyber environment complexities and assumptions. Performance results are presented showing success in both detection accuracy and temporal expedience, an important design goal.