Method for extracting voiceprint feature vectors of encrypted network flow
A voiceprint feature and extraction method technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as the inability to effectively identify protocols, the inability of traffic classification systems to correctly classify private encrypted protocol traffic, and the inability to identify hidden protocols. , to achieve the effect of rich and reliable knowledge
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[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0040] The statistical feature extraction method adopted by the current classification technology can only extract static statistical features from the network flow, which leads to the problem that the traffic classification system cannot correctly classify the private encryption protocol traffic, let alone effectively identify the protocol hidden in the encrypted proxy channel. The invention proposes a method for extracting feature vectors of encrypted network flow voiceprints. This method first uses a sliding window to record the time-series statistical characteristics of the encrypted network flow in a continuous period of time, then filters the processing units in the ...
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