Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic

Traffic classification is essential in network-related areas such as network management, monitoring, and security. As the proportion of encrypted internet traffic rises, the accuracy of port-based and DPI-based traffic classification methods has declined. The methods based on machine learning and de...

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Ngā kaituhi matua:	Jun Cui, Longkun Bai, Guangxu Li, Zhigui Lin, Penggao Zeng
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	PeerJ Inc. 2023-11-01
Rangatū:	PeerJ Computer Science
Ngā marau:	Feature representation Encrypted traffic classification 2-Dimensional convolution AutoEncoder FlowSpectrum
Urunga tuihono:	https://peerj.com/articles/cs-1635.pdf
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!