Invention Grant
- Patent Title: Detection and analysis of seasonal network patterns for anomaly detection
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Application No.: US15188175Application Date: 2016-06-21
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Publication No.: US10659333B2Publication Date: 2020-05-19
- Inventor: Laurent Sartran , Pierre-André Savalle , Jean-Philippe Vasseur , Grégory Mermoud , Javier Cruz Mota , Sébastien Gay
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James M. Behmke; James J. Wong
- Main IPC: H04L12/26
- IPC: H04L12/26

Abstract:
In one embodiment, a device in a network determines cluster assignments that assign traffic data regarding traffic in the network to activity level clusters based on one or more measures of traffic activity in the traffic data. The device uses the cluster assignments to predict seasonal activity for a particular subset of the traffic in the network. The device determines an activity level for new traffic data regarding the particular subset of traffic in the network. The device detects a network anomaly by comparing the activity level for the new traffic data to the predicted seasonal activity.
Public/Granted literature
- US20170279698A1 DETECTION AND ANALYSIS OF SEASONAL NETWORK PATTERNS FOR ANOMALY DETECTION Public/Granted day:2017-09-28
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