DYNAMIC MULTIDIMENSIONAL RISK-WEIGHTED SUSPICIOUS ACTIVITIES DETECTOR

摘要

A computerized method is established to detect suspicious and fraudulent activities in a group of subjects by defining and dynamically integrating multidimensional risks, which are based on the characteristics of the subjects, into a mathematical model to produce a set of the most up-to-date representative risk values for each subject based on its activities and background These multidimensional psk definitions and representative risk values are used to select a subset of multidimensional psk-weighted detection algorithms so that suspicious or fraudulent activities in the group of subjects can be effectively detected with higher resolution and accuracy.