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Determining usage predictions and detecting anomalous user activity through traffic patterns

  • US 9,055,431 B2
  • Filed: 07/10/2013
  • Issued: 06/09/2015
  • Est. Priority Date: 07/17/2009
  • Status: Active Grant
First Claim
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1. A method of using a computer to detect anomalies in the data traffic of a mobile device, the computer performing the steps of:

  • collecting from the mobile device, usage data relating to data usage for the mobile device for a given time period;

    setting threshold values based at least in part on a mobile device data plan and an amount of data used by the mobile device within a set time period and on historical usage data of the mobile device, where the weighting afforded the historical usage data is related to the amount of stored history;

    comparing the usage data against the threshold values;

    identifying an anomaly if a statistic of the usage data exceeds a corresponding threshold of the threshold values;

    updating the threshold values based on a running average of each statistic of the usage data;

    the computer further performing the steps of;

    saving existing usage data or predicted data or both;

    generating a graphical user interface including at least one statistic of the usage data;

    overlaying at least one statistic of the existing usage data or predicted data or both onto the at least one statistic of the usage data.

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