Multi-feature fusion CC encrypted traffic recognition algorithm

The invention relates to the technical field of traffic identification, in particular to multi-feature fusion Camp. The C encryption flow identification algorithm comprises the following steps: analyzing the Camp; c, encrypting traffic data, and identifying and classifying encryption protocol types, version numbers and Camp; and C, encrypting the traffic identifier, performing tagging processing, and adopting multi-feature fusion to obtain an encrypted traffic feature set. According to the method and the device, the Camp is converted into Camp; c, when the encrypted traffic features are compared with historical data, deviation value sorting and priority classification are introduced, the sensitivity of anomaly detection is enhanced, the rapid response capability to potential threats is provided, and Camp is analyzed through recognition of an abnormal mode; c, encrypting the nonlinear characteristic and the hidden state of the traffic, and deeply understanding the Camp; and C, encrypting the dynamic change beh