发明名称 Scalable traffic classifier and classifier training system
摘要 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.
申请公布号 US8311956(B2) 申请公布日期 2012.11.13
申请号 US20090539430 申请日期 2009.08.11
申请人 SEN SUBHABRATA;DUFFIELD NICHOLAS;HAFFNER PATRICK;ERMAN JEFFREY;JIN YU;AT&T INTELLECTUAL PROPERTY I, L.P. 发明人 SEN SUBHABRATA;DUFFIELD NICHOLAS;HAFFNER PATRICK;ERMAN JEFFREY;JIN YU
分类号 G06F15/18 主分类号 G06F15/18
代理机构 代理人
主权项
地址