Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/111877
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Type: Journal article
Title: A BasisEvolution framework for network traffic anomaly detection
Author: Xia, H.
Fang, B.
Roughan, M.
Cho, K.
Tune, P.
Citation: Computer Networks, 2018; 135:15-31
Publisher: Elsevier
Issue Date: 2018
ISSN: 1389-1286
1872-7069
Statement of
Responsibility: 
Hui Xia, Bin Fang, Matthew Roughan, Kenjiro Cho, Paul Tune
Abstract: Abstract not available
Keywords: Anomaly detection; basis; evolution; low false-alarm probability; SVD
Rights: ©2018 Elsevier B.V. All rights reserved
RMID: 0030083935
DOI: 10.1016/j.comnet.2018.01.025
Grant ID: http://purl.org/au-research/grants/arc/DP110103505
http://purl.org/au-research/grants/arc/CE140100049
Appears in Collections:Computer Science publications

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