Uncertainty quantification method for classified prediction of encrypted network traffic
The invention relates to an uncertainty quantification method for classified prediction of encrypted network traffic, and belongs to the field of network security. The method comprises the steps of model training prediction, Gaussian kernel density estimation, KL divergence calculation, OOD score ca...
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Format: | Patent |
Sprache: | chi ; eng |
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