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