Invention Grant
- Patent Title: Detecting transient vs. perpetual network behavioral patterns using machine learning
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Application No.: US15880600Application Date: 2018-01-26
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Publication No.: US10547518B2Publication Date: 2020-01-28
- Inventor: Vinay Kumar Kolar , Jean-Philippe Vasseur , Vikram Kumaran , Santosh Ghanshyam Pandey
- 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: G06F15/173
- IPC: G06F15/173 ; H04L12/24 ; H04L12/26 ; G06N20/00

Abstract:
In one embodiment, a network assurance service that monitors a network detects a pattern of network measurements from the network that are associated with a particular network problem. The network assurance service tracks characteristics of the detected pattern over time. The network assurance service uses the tracked characteristics of the detected pattern over time as input to a machine learning-based pattern analyzer. The pattern analyzer is configured to determine whether the detected pattern is a perpetual or transient pattern in the network, and the pattern analyzer is further configured to detect anomalies in the characteristics of the pattern. The network assurance service initiates a change to the network based on an output of the machine learning-based pattern analyzer.
Public/Granted literature
- US20190238421A1 DETECTING TRANSIENT VS. PERPETUAL NETWORK BEHAVIORAL PATTERNS USING MACHINE LEARNING Public/Granted day:2019-08-01
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