CSCNN: Cost-Sensitive Convolutional Neural Network for Encrypted Traffic Classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-021-10534-6.pdf
Reference49 articles.
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2. Wang P, Chen X, Ye F, Sun Z (2019) A survey of techniques for mobile service encrypted traffic classification using deep learning. IEEE Access 7:54024–54033
3. D’Angelo G, Palmieri F (2021) Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction. J Netw Comput Appl 173:102890
4. Aceto G, Ciuonzo D, Montieri A, Pescapé A (2021) DISTILLER: Encrypted traffic classification via multimodal multitask deep learning. J Netw Comput Appl:102985
5. Dias KL, Pongelupe MA, Caminhas WM, de Errico L (2019) An innovative approach for real-time network traffic classification. Comput Netw 158:143–157
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