Patent ID: 9729727
Date: 2017-08-08
CPC Classifications: G06N,H04L,H04M,H04W

Claim:
1. A method for detecting fraud on a communication network, the method comprising: collecting call detail records on a communication network for a given time period, each call detail record containing a plurality of call features for a call to a destination number; aggregating the plurality of call features from each of the collected call detail records by destination number, resulting in an aggregation of call features for each destination number; transforming each aggregation of call features into a data point using a dimension reduction method, resulting in a plurality of data points, each data point representing a respective aggregation of call features for a destination number; performing a clustering analysis that groups the plurality of data points into two clusters, and labels each aggregation of call features as fraud or non-fraud based on the cluster of each respective data point; performing supervised learning using each of the labeled aggregations of call features as training data to generate at least one decision model to detect fraudulent calls; detecting fraudulent calls on the communication network using the at least one decision model; and causing an automated action based on the detection.