System and method for detecting anomalous activity based on a data distribution
Abstract:
A system, non-transitory computer readable medium and method for detecting anomalous activity based on a data distribution is disclosed. The system includes a processor, and a memory coupled to the processor. The memory stores computer executable instructions that, when executed by the processor, cause the processor to obtain a plurality of datapoints defining a data distribution. The processor classifies the plurality of datapoints as isolated or non-isolated datapoints, and clusters at least some of the non-isolated datapoints into at least one mode segment. A reference mode from the at least one mode segment is identified, and at least one outlier being either an isolated or non-isolated datapoint separated from the reference mode by a predetermined number of isolated datapoints representing a flat portion is identified. An action is initiated based on the identified at least one outlier.
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