A hierarchical PCA-based anomaly detection model
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2013
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE Computer Society |
Relação |
http://dro.deakin.edu.au/eserv/DU:30060784/tian-hierarchicalpcabased-2013.pdf http://dro.deakin.edu.au/eserv/DU:30060784/tian-hierarchicalpcabased-evid-2013.pdf http://doi.org/10.1109/ICCNC.2013.6504158 |
Direitos |
2013, IEEE |
Palavras-Chave | #cloud service pricing #M/M/c #utility function #hierarchical |
Tipo |
Conference Paper |