Self-Organizing Maps-Assisted Variational Autoencoder for Unsupervised Network Anomaly Detection

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Bibliografski detalji
Izdano u:	Symmetry vol. 17, no. 4 (2025), p. 520
Glavni autor:	Huang, Hailong
Daljnji autori:	Yang, Jiahong, Zeng Hang, Wang, Yaqin, Xiao Liuming
Izdano:	MDPI AG
Teme:	Accuracy Labels Datasets Deep learning Self organizing maps Supervised learning Optimization Unsupervised learning Algorithms Encoding-Decoding Anomalies Cluster analysis Clustering Reconstruction Machine learning Statistical methods Intrusion detection systems
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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