Dynamic self-updating network traffic classification method based on topic model
A network traffic and classification method technology, which is applied in the field of dynamic self-updating network traffic classification based on topic models, can solve the problems of reduced classification accuracy, insufficient consideration of network traffic dynamics, and low efficiency, so as to improve accuracy and improve efficiency. Usability and efficiency, the effect of reducing the number of iterations
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[0024] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0025] Network traffic has dynamic characteristics, and the type and quantity distribution of traffic passing by the same node at different times is changing; network applications with complex and diverse functions often generate many data packets with different characteristics, and these data packets are forcibly processed according to the same application. Processing will reduce the accuracy of the traffic classification method; there are unknown categories in the real classification data, if the data of unknown protocol categories cannot be properly processed, the classification model will be affected. In order to solve these problems, the present invention proposes a dynamic self-updating network traffic classification method based on topic models based on the idea of using the distribution characteristics of traffic protocol categories at...
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