SHAPE: A Simultaneous Header and Payload Encoding Model for Encrypted Traffic Classification

Many end-to-end deep learning algorithms seeking to classify malicious traffic and encrypted traffic have been proposed in recent years. End-to-end deep learning algorithms require a large number of samples to train a model. However, it is hard for existing methods fully utilizing the heterogeneous...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE eTransactions on network and service management Vol. 20; no. 2; pp. 1993 - 2012
Main Authors:	Dai, Jianbang, Xu, Xiaolong, Gao, Honghao, Wang, Xinheng, Xiao, Fu
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms autoencoder Classification Classification algorithms Coders Coding Deep learning deep metric learning encrypted traffic Feature extraction Machine learning Payloads Shape Task analysis Traffic classification Traffic models transformer Transformers
ISSN:	1932-4537, 1932-4537
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!