Protecting VNF services with smart online behavior anomaly detection method

Cheng, Yuxia, Yao, Huijuan, Wang, Yu, Xiang, Yang and Li, Hongpei 2019, Protecting VNF services with smart online behavior anomaly detection method, Future generation computer systems, vol. 95, pp. 265-276, doi: 10.1016/j.future.2018.12.058.

Attached Files
Name Description MIMEType Size Downloads

Title Protecting VNF services with smart online behavior anomaly detection method
Author(s) Cheng, Yuxia
Yao, Huijuan
Wang, Yu
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Li, Hongpei
Journal name Future generation computer systems
Volume number 95
Start page 265
End page 276
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-06
ISSN 0167-739X
Keyword(s) NFV
Behavior model
HMM
Anomaly detection
OpenStack
Language eng
DOI 10.1016/j.future.2018.12.058
Field of Research 0805 Distributed Computing
0806 Information Systems
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118697

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 18 Feb 2019, 13:19:54 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.