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US 2017/0012790 A1Published application
Determining Usage Predictions And Detecting Anomalous User Activity Through Traffic Patterns
AssigneeTangoe Canada, Inc.
InventorsJaan Leemet, Daniel Rudich
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Abstract
A system for selecting and monitoring data plans for telecommunications systems, and methods of determining, learning and estimating usage patterns in-order to predict usage and tie this to cost and the overlaying of plan selection for cost optimization. Further, additional methods are applied to determine anomalous user behaviors and raise security and data leakage related events.
Claims20
A method of using a computer to detect data traffic of a mobile device, the computer performing the steps of:
- collecting usage data from the mobile device for a time period;
- setting threshold values based on a mobile device data plan and an amount of data used by the mobile device within the time period and on historical usage data of the mobile device;
- 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;
- 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;
- updating the threshold values based on at least one statistic of the usage data.
4 more elements
A method of using a computer to detect 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;
- comparing the usage data against the threshold values;
- identifying a statistic of the usage data exceeding a corresponding threshold of the threshold values;
- generating report based on the identified statistic wherein the report includes a comparison between historical usage data associated with a second given time period to the usage data, the second given time period prior to the given time period;
- presenting the report on a Graphical User Interface (GUI) so that a user of the mobile device can assess changes in their data usage in order to avoid overages;
- and
- updating the threshold values based on a running average of the statistic of the usage data.
5 more elements
Dependencies are inferred from the claim text.