- 专利标题： Training a network traffic classifier using training data enriched with contextual bag information
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申请号： US15790402申请日： 2017-10-23
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公开(公告)号： US11271833B2公开(公告)日： 2022-03-08
- 发明人: Tomas Komarek , Martin Vejman , Petr Somol
- 申请人： Cisco Technology, Inc.
- 申请人地址： US CA San Jose
- 专利权人： Cisco Technology, Inc.
- 当前专利权人： Cisco Technology, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Behmke Innovation Group LLC
- 代理商 Kenneth J. Heywood; Jonathon P. Western
- 主分类号： H04L12/26
- IPC分类号： H04L12/26 ; H04L43/062 ; H04L29/06 ; G06N20/00 ; H04L41/16 ; H04L43/026
摘要：
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.
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