Network traffic analysis - a different approach using incoming and outgoing traffic differences

Detalhes bibliográficos
Autor(a) principal: Azevedo, Renato Preigschadt de
Data de Publicação: 2010
Outros Autores: Foster, Douglas Camargo, Nunes, Raul Ceretta, Kozakevicius, Alice
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/1741
Resumo: The network traffic analysis is a fundamental area on network management because the network anomalies may affect the network quality of service. However, the data network traffic anomalies are still a critical issue. On last years signal processing methods like wavelet-based ones have been used to detect anomalies on network traffic, specially because wavelet transforms allow the selection of signal characteristics via a combined time-frequency representation. This paper explores a simple and fast wavelet transform for analyzing the network flow, considering the difference between incoming and outgoing traffic data, for improving identification of deny of service attacks.
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spelling Network traffic analysis - a different approach using incoming and outgoing traffic differencesThe network traffic analysis is a fundamental area on network management because the network anomalies may affect the network quality of service. However, the data network traffic anomalies are still a critical issue. On last years signal processing methods like wavelet-based ones have been used to detect anomalies on network traffic, specially because wavelet transforms allow the selection of signal characteristics via a combined time-frequency representation. This paper explores a simple and fast wavelet transform for analyzing the network flow, considering the difference between incoming and outgoing traffic data, for improving identification of deny of service attacks.Universidade Federal do Rio Grande2010-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1741VETOR - Journal of Exact Sciences and Engineering; Vol. 20 No. 1 (2010); 23-29VETOR - Revista de Ciências Exatas e Engenharias; v. 20 n. 1 (2010); 23-292358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/1741/869Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessAzevedo, Renato Preigschadt deFoster, Douglas CamargoNunes, Raul CerettaKozakevicius, Alice2023-03-22T15:42:43Zoai:periodicos.furg.br:article/1741Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2023-03-22T15:42:43Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Network traffic analysis - a different approach using incoming and outgoing traffic differences
title Network traffic analysis - a different approach using incoming and outgoing traffic differences
spellingShingle Network traffic analysis - a different approach using incoming and outgoing traffic differences
Azevedo, Renato Preigschadt de
title_short Network traffic analysis - a different approach using incoming and outgoing traffic differences
title_full Network traffic analysis - a different approach using incoming and outgoing traffic differences
title_fullStr Network traffic analysis - a different approach using incoming and outgoing traffic differences
title_full_unstemmed Network traffic analysis - a different approach using incoming and outgoing traffic differences
title_sort Network traffic analysis - a different approach using incoming and outgoing traffic differences
author Azevedo, Renato Preigschadt de
author_facet Azevedo, Renato Preigschadt de
Foster, Douglas Camargo
Nunes, Raul Ceretta
Kozakevicius, Alice
author_role author
author2 Foster, Douglas Camargo
Nunes, Raul Ceretta
Kozakevicius, Alice
author2_role author
author
author
dc.contributor.author.fl_str_mv Azevedo, Renato Preigschadt de
Foster, Douglas Camargo
Nunes, Raul Ceretta
Kozakevicius, Alice
description The network traffic analysis is a fundamental area on network management because the network anomalies may affect the network quality of service. However, the data network traffic anomalies are still a critical issue. On last years signal processing methods like wavelet-based ones have been used to detect anomalies on network traffic, specially because wavelet transforms allow the selection of signal characteristics via a combined time-frequency representation. This paper explores a simple and fast wavelet transform for analyzing the network flow, considering the difference between incoming and outgoing traffic data, for improving identification of deny of service attacks.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/1741
url https://periodicos.furg.br/vetor/article/view/1741
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/1741/869
dc.rights.driver.fl_str_mv Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 20 No. 1 (2010); 23-29
VETOR - Revista de Ciências Exatas e Engenharias; v. 20 n. 1 (2010); 23-29
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
_version_ 1797041761212694528

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