Abstract: In this paper, a volume feature extraction model combining stochastic forest and Bayesian theory, and using TF-IDF (Term frequency-inverse Document Frequency) method for text feature ...
Abstract: This research proposes a self-supervised anomaly detection framework tailored for encrypted network flows, leveraging Gated Recurrent Unit (GRU) models trained with sequence reconstruction ...
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