Invention Grant
- Patent Title: Scheduling a network attack to train a machine learning model
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Application No.: US14164467Application Date: 2014-01-27
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Publication No.: US10356111B2Publication Date: 2019-07-16
- Inventor: Andrea Di Pietro , Jean-Philippe Vasseur , Javier Cruz Mota
- 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 Behnke; Stephen D. LeBarron
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06N3/08 ; G06N20/00 ; H04L12/24 ; H04L29/06 ; H04L12/26 ; H04L12/801 ; H04L12/855 ; H04L12/891 ; H04L12/753

Abstract:
In one embodiment, a device evaluates a set of training data for a machine learning model to identify a missing feature subset in a feature space of the set of training data. The device identifies a plurality of network nodes eligible to initiate an attack on a network to generate the missing feature subset. One or more attack nodes are selected from among the plurality of network nodes. An attack routine is provided to the one or more attack nodes to cause the one or more attack nodes to initiate the attack. An indication that the attack has completed is then received from the one or more attack nodes.
Public/Granted literature
- US20150195145A1 SCHEDULING A NETWORK ATTACK TO TRAIN A MACHINE LEARNING MODEL Public/Granted day:2015-07-09
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