Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction
Yongchao Yang,
Pan Zhao
Abstract:Network security situation awareness enables networks to actively and effectively defend against network attacks, relying on the extraction of network situation elements as an initial and decisive step. In existing studies, the stacked sparse autoencoder (SSAE) has been employed to extract features from unlabeled network flows. However, obtaining the optimal hyperparameter combination is challenging due to its numerous hyperparameters. To address this issue, we propose a novel approach named DBO-SSAE that leve… Show more
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