Distributed learning in a computer network

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United States of America Patent

PATENT NO 9870537
SERIAL NO

14164446

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
CISCO TECHNOLOGY INC170 WEST TASMAN DRIVE SAN JOSE CA 95134

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cruz, Mota Javier Assens, CH 40 1756
Di, Pietro Andrea Lausanne, CH 64 2201
Vasseur, Jean-Philippe Saint Martin d'Uriage, FR 823 22755

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