Invention Grant
- Patent Title: Scalable traffic classifier and classifier training system
- Patent Title (中): 可扩展流量分类器和分类器训练系统
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Application No.: US12539430Application Date: 2009-08-11
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Publication No.: US08311956B2Publication Date: 2012-11-13
- Inventor: Subhabrata Sen , Nicholas Duffield , Patrick Haffner , Jeffrey Erman , Yu Jin
- Applicant: Subhabrata Sen , Nicholas Duffield , Patrick Haffner , Jeffrey Erman , Yu Jin
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probability value using a fitted logistic curve, each estimated class probability value indicating a probability that the packet flow on which the output score is based belongs to the traffic class associated with the binary classifier associated with the calibrator. The classifier training system configured to generate a training data based on network information gained using flow and packet sampling methods. In some embodiments, the classifier training system configured to generate reduced training data sets, one for each traffic class, reducing the training data related to traffic not associated with the traffic class.
Public/Granted literature
- US20110040706A1 SCALABLE TRAFFIC CLASSIFIER AND CLASSIFIER TRAINING SYSTEM Public/Granted day:2011-02-17
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