Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach
The crucial future role of Internet in society makes of network monitoring a critical issue for network operators in future network scenarios. The Future Internet will have to cope with new and different anomalies, motivating the development of accurate detection algorithms. This paper presents a no...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| التنسيق: | bookPart |
| اللغة: | الإنجليزية |
| منشور في: |
2009
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/20.500.12008/38649 https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7 |
| الوسوم: |
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| _version_ | 1868890115737124864 |
|---|---|
| author | Casas, Pedro |
| author2 | Fillatre, Lionel Vaton, Sandrine Nikiforov, Igor |
| author2_role | author author author |
| author_browse | Casas, Pedro Fillatre, Lionel Nikiforov, Igor Vaton, Sandrine |
| author_facet | Casas, Pedro Fillatre, Lionel Vaton, Sandrine Nikiforov, Igor |
| author_role | author |
| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Casas, Pedro Fillatre, Lionel Vaton, Sandrine Nikiforov, Igor |
| dc.date.none.fl_str_mv | 2009 2023-08-01T20:33:10Z 2023-08-01T20:33:10Z 20230801 |
| dc.identifier.none.fl_str_mv | Casas, P. Fillatre, L. Vaton, S, Nikiforov, I. “Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach.” Traffic Management and Traffic Engineering for the Future Internet. First Euro-NF Workshop, FITraMEn 2008 Porto, Portugal, December 2008. Revised Selected Papers. Berlin : Springer Verlag, 2009. Lecture Notes in Computer Science. 5464. ISBN 978-3-642-04575-2. https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7 https://hdl.handle.net/20.500.12008/38649 https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7 |
| dc.language.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.relation.none.fl_str_mv | Traffic Management and Traffic Engineering for the Future Internet. First Euro-NF Workshop, FITraMEn 2008 Porto, Portugal, December 2008. Revised Selected Papers. |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Network monitoring and traffic analysis Network traffic modeling Optimal volume anomaly detection Telecomunicaciones |
| dc.title.none.fl_str_mv | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| dc.type.none.fl_str_mv | Capítulo de libro info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion |
| description | The crucial future role of Internet in society makes of network monitoring a critical issue for network operators in future network scenarios. The Future Internet will have to cope with new and different anomalies, motivating the development of accurate detection algorithms. This paper presents a novel approach to detect unexpected and large traffic variations in data networks. We introduce an optimal volume anomaly detection algorithm in which the anomaly-free traffic is treated as a nuisance parameter. The algorithm relies on an original parsimonious model for traffic demands which allows detecting anomalies from link traffic measurements, reducing the overhead of data collection. The performance of the method is compared to that obtained with the Principal Components Analysis (PCA) approach. We choose this method as benchmark given its relevance in the anomaly detection literature. Our proposal is validated using data from an operational network, showing how the method outperforms the PCA approach |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| id | anni_86b3375ea2d32dca84046ed9147f32ce |
| identifier_str_mv | Casas, P. Fillatre, L. Vaton, S, Nikiforov, I. “Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach.” Traffic Management and Traffic Engineering for the Future Internet. First Euro-NF Workshop, FITraMEn 2008 Porto, Portugal, December 2008. Revised Selected Papers. Berlin : Springer Verlag, 2009. Lecture Notes in Computer Science. 5464. ISBN 978-3-642-04575-2. https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38649 |
| publishDate | 2009 |
| publishDateSort | 2009 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approachCasas, PedroFillatre, LionelVaton, SandrineNikiforov, IgorNetwork monitoring and traffic analysisNetwork traffic modelingOptimal volume anomaly detectionTelecomunicacionesThe crucial future role of Internet in society makes of network monitoring a critical issue for network operators in future network scenarios. The Future Internet will have to cope with new and different anomalies, motivating the development of accurate detection algorithms. This paper presents a novel approach to detect unexpected and large traffic variations in data networks. We introduce an optimal volume anomaly detection algorithm in which the anomaly-free traffic is treated as a nuisance parameter. The algorithm relies on an original parsimonious model for traffic demands which allows detecting anomalies from link traffic measurements, reducing the overhead of data collection. The performance of the method is compared to that obtained with the Principal Components Analysis (PCA) approach. We choose this method as benchmark given its relevance in the anomaly detection literature. Our proposal is validated using data from an operational network, showing how the method outperforms the PCA approachSpringer2023-08-01T20:33:10Z2023-08-01T20:33:10Z200920230801Capítulo de libroinfo:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionCasas, P. Fillatre, L. Vaton, S, Nikiforov, I. “Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach.” Traffic Management and Traffic Engineering for the Future Internet. First Euro-NF Workshop, FITraMEn 2008 Porto, Portugal, December 2008. Revised Selected Papers. Berlin : Springer Verlag, 2009. Lecture Notes in Computer Science. 5464. ISBN 978-3-642-04575-2. https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7https://hdl.handle.net/20.500.12008/38649https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengTraffic Management and Traffic Engineering for the Future Internet. First Euro-NF Workshop, FITraMEn 2008 Porto, Portugal, December 2008. Revised Selected Papers.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)oai:colibri.udelar.edu.uy:20.500.12008/386492026-04-14T10:15:28Z |
| spellingShingle | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach Casas, Pedro Network monitoring and traffic analysis Network traffic modeling Optimal volume anomaly detection Telecomunicaciones |
| status_str | publishedVersion |
| title | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| title_full | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| title_fullStr | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| title_full_unstemmed | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| title_short | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| title_sort | Volume anomaly detection in data networks : an optimal detection algorithm vs. the PCA approach |
| topic | Network monitoring and traffic analysis Network traffic modeling Optimal volume anomaly detection Telecomunicaciones |
| url | https://hdl.handle.net/20.500.12008/38649 https://doi-org.proxy.timbo.org.uy/10.1007/978-3-642-04576-9_7 |