A hierarchical PCA-based anomaly detection model

Tian, Biming, Merrick, Kathryn, Yu, Shui and Hu, Jiankun 2013, A hierarchical PCA-based anomaly detection model, in ICNC 2013 : International Conference on Computing, Networking and Communications, IEEE Computer Society, Piscataway, N.J., pp. 621-625, doi: 10.1109/ICCNC.2013.6504158.

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Title A hierarchical PCA-based anomaly detection model
Author(s) Tian, Biming
Merrick, Kathryn
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Hu, Jiankun
Conference name Computing, Networking and Communications. Conference (2013 : San Diego, California)
Conference location San Diego, California
Conference dates 28-31 Jan. 2013
Title of proceedings ICNC 2013 : International Conference on Computing, Networking and Communications
Editor(s) [Unknown]
Publication date 2013
Conference series International Conference on Computing, Networking and Communications
Start page 621
End page 625
Total pages 5
Publisher IEEE Computer Society
Place of publication Piscataway, N.J.
Keyword(s) cloud service pricing
utility function
Summary A hierarchical intrusion detection model is proposed to detect both anomaly and misuse attacks. In order to further speed up the training and testing, PCA-based feature extraction algorithm is used to reduce the dimensionality of the data. A PCA-based algorithm is used to filter normal data out in the upper level. The experiment results show that PCA can reduce noise in the original data set and the PCA-based algorithm can reach the desirable performance.
ISBN 1467352888
Language eng
DOI 10.1109/ICCNC.2013.6504158
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30060784

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