Invention Grant
- Patent Title: Data visualization in self-learning networks
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Application No.: US14990064Application Date: 2016-01-07
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Publication No.: US10484406B2Publication Date: 2019-11-19
- Inventor: Jean-Philippe Vasseur , Grégory Mermoud , Sukrit Dasgupta , Xav Laumonier
- 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 Behmke; Stephen D. LeBarron
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F12/14 ; G06F12/16 ; G08B23/00 ; H04L29/06 ; G06N20/00

Abstract:
In one embodiment, a first device in a network maintains raw traffic flow information for the network. The first device provides a compressed summary of the raw traffic flow information to a second device in the network. The second device is configured to transform the compressed summary for presentation to a user interface. The first device detects an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector. The first device provides at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.
Public/Granted literature
- US20160219071A1 DATA VISUALIZATION IN SELF LEARNING NETWORKS Public/Granted day:2016-07-28
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