Method and system for network protocol recognition based on tri-classifier cooperative training learning
A collaborative training and three-classifier technology, applied in transmission systems, electrical components, etc., can solve the problems that manual marking cannot meet actual needs, is complicated, time-consuming, etc., achieves high recognition accuracy and recall rate, and has a wide range of applications. The effect of learning efficiency
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[0025] Such as figure 1 As shown, the specific implementation of the present invention is as follows: four main stages are included: data packet capture and statistical feature extraction stage; classifier existence judgment stage; three classifier cooperative training learning algorithm classifier construction stage and protocol identification stage.
[0026] 1. Data packet capture and statistical feature extraction: Due to fragmentation during network transmission, data packets need to be reassembled when they reach the destination terminal, based on the fact that the fragments of the same IP packet have the same identifier. TCP provides connection-oriented, reliable, and byte-stream-based data transmission services. The TCP segment data is a byte stream corresponding to the sequence number. Since the order of packet arrival does not follow the principle of the former coming first, the flow is used as the unit The feature extraction must go through the TCP stream restoration...
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