Invention Grant
- Patent Title: Distributed learning in a computer network
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Application No.: US14164446Application Date: 2014-01-27
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Publication No.: US09870537B2Publication Date: 2018-01-16
- Inventor: Jean-Philippe Vasseur , Javier Cruz Mota , Andrea Di Pietro
- 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: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N99/00 ; G06N3/08 ; H04L12/26 ; H04L12/24 ; G06N3/04

Abstract:
In one embodiment, a first data set is received by a network device that is indicative of the statuses of a plurality of network devices when a type of network attack is not present. A second data set is also received that is indicative of the statuses of the plurality of network devices when the type of network attack is present. At least one of the plurality simulates the type of network attack by operating as an attacking node. A machine learning model is trained using the first and second data set to identify the type of network attack. A real network attack is then identified using the trained machine learning model.
Public/Granted literature
- US20150193694A1 DISTRIBUTED LEARNING IN A COMPUTER NETWORK Public/Granted day:2015-07-09
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