Training a network traffic classifier using training data enriched with contextual bag information

Invention Grant

US11271833B2 Training a network traffic classifier using training data enriched with contextual bag information 有权

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Patent Title: Training a network traffic classifier using training data enriched with contextual bag information
Application No.: US15790402

Application Date: 2017-10-23
Publication No.: US11271833B2

Publication Date: 2022-03-08
Inventor: Tomas Komarek , Martin Vejman , Petr Somol
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 Kenneth J. Heywood; Jonathon P. Western
Main IPC: H04L12/26
IPC: H04L12/26 ; H04L43/062 ; H04L29/06 ; G06N20/00 ; H04L41/16 ; H04L43/026

Training a network traffic classifier using training data enriched with contextual bag information

Abstract:

In one embodiment, a device groups feature vectors representing network traffic flows into bags. The device forms a bag representation of a particular one of the bags by aggregating the feature vectors in the particular bag. The device extends one or more feature vectors in the particular bag with the bag representation. The extended one or more feature vectors are positive examples of a classification label for the network traffic. The device trains a network traffic classifier using training data that comprises the one or more feature vectors extended with the bag representation.

Public/Granted literature

US20190123982A1 TRAINING A NETWORK TRAFFIC CLASSIFIER USING TRAINING DATA ENRICHED WITH CONTEXTUAL BAG INFORMATION Public/Granted day:2019-04-25

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