DETECTING OUTLIERS IN NETWORK TRAFFIC TIME SERIES
First Claim
Patent Images
1. A computer-implemented method, comprising:
- identifying, by computer, an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period; and
identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric.
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Abstract
According to an aspect of the invention, a system and method is configured to detect time series outliers in network traffic.
30 Citations
20 Claims
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1. A computer-implemented method, comprising:
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identifying, by computer, an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period; and identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method comprising:
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Identifying an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period; and identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An apparatus, comprising:
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a processor; and a storage medium storing instructions that, when executed by the processor, cause the apparatus to perform a method comprising; identifying an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period; and identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification