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An Improved Stacked Auto-Encoder for Network...
Journal article

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification

Abstract

Network flow classification plays a very important role in various network applications and is a fundamental task in network flow control. However, the innovations in the multi-source network application and the elastic network architecture with the network flows of high volume, velocity, variety, and veracity pose unprecedented challenges on accurate network flow classification. In this article, an improved stacked auto-encoder is proposed to …

Authors

Li P; Chen Z; Yang LT; Gao J; Zhang Q; Deen MJ

Journal

IEEE Network, Vol. 32, No. 6, pp. 22–27

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2018

DOI

10.1109/mnet.2018.1800078

ISSN

0890-8044