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US 2013/0295877 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.
Claims11
A method of using a computer to detect anomalies in the data traffic of a mobile device, comprising 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 within a set time period and on historical usage data, where the weighting afforded the historical usage data is equivalent to the amount of stored history;
- comparing with a computer, the usage data against the threshold values;
- identifying an anomaly with the computer 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.
2 more elements
Dependencies are inferred from the claim text.