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A survey of network anomaly detection techniques
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A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data
Eskin, E., Arnold, A., Prerau, M., Portnoy, L., & Stolfo, S. (2002) · Advances in Information Security · doi:10.1007/978-1-4615-0953-0_4 · Cited by 683
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Metadata
- Authors
- Ahmed, M., Naser Mahmood, A., & Hu, J.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 60
- Pages
- 19-31
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2278186031
- Cited by
- 1,750
- References
- 1
- FWCI
- 66.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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