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Scalable network-wide anomaly detection using compressed data

Pham, D. S., Saha, B., Lazarescu, M. and Venkatesh, S. 2009, Scalable network-wide anomaly detection using compressed data, Curtin University of Technology, Perth, W. A..

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Title Scalable network-wide anomaly detection using compressed data
Author(s) Pham, D. S.
Saha, B.ORCID iD for Saha, B. orcid.org/0000-0001-8011-6801
Lazarescu, M.
Venkatesh, S.ORCID iD for Venkatesh, S. orcid.org/0000-0001-8675-6631
Publication date 2009
Total pages 26 p.
Publisher Curtin University of Technology
Place of publication Perth, W. A.
Keyword(s) network anomalies
network congestion
principal component analysis (PCA)
compressed sensing theory (CS)
datasets
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category A6.1 Research report/technical paper
Copyright notice ©2009, Curtin University of Technology
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045549

Document type: Report
Collections: School of Information Technology
Open Access Collection
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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.