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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Bibliographische Detailangaben
Hauptverfasser: WANG YING, LI YIHONG, HU WENYOU, ZHANG ZHIBIN, LI WENBO, CHEN YUEYUE, SHANGGUAN YIBU, WEI PENG, MIAO XIAOKONG, CHEN PENG, LIU JING, LUO PING
Format: Patent
Sprache:chi ; eng
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