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

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...

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Bibliographic Details
Main Authors: Renato Preigschadt de Azevedo, Douglas Camargo Foster, Raul Ceretta Nunes, Alice Kozakevicius
Format: Article
Language:English
Published: Universidade Federal do Rio Grande 2010-12-01
Series:Vetor
Online Access:https://seer.furg.br/vetor/article/view/1741
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author Renato Preigschadt de Azevedo
Douglas Camargo Foster
Raul Ceretta Nunes
Alice Kozakevicius
author_facet Renato Preigschadt de Azevedo
Douglas Camargo Foster
Raul Ceretta Nunes
Alice Kozakevicius
author_sort Renato Preigschadt de Azevedo
collection DOAJ
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.
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spelling doaj.art-e651384a5e064bb297a30dcd1d7a7bd82022-12-22T02:59:14ZengUniversidade Federal do Rio GrandeVetor0102-73522358-34522010-12-01201Network traffic analysis - a different approach using incoming and outgoing traffic differencesRenato Preigschadt de AzevedoDouglas Camargo FosterRaul Ceretta NunesAlice KozakeviciusThe 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.https://seer.furg.br/vetor/article/view/1741
spellingShingle Renato Preigschadt de Azevedo
Douglas Camargo Foster
Raul Ceretta Nunes
Alice Kozakevicius
Network traffic analysis - a different approach using incoming and outgoing traffic differences
Vetor
title 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_short 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
url https://seer.furg.br/vetor/article/view/1741
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AT raulcerettanunes networktrafficanalysisadifferentapproachusingincomingandoutgoingtrafficdifferences
AT alicekozakevicius networktrafficanalysisadifferentapproachusingincomingandoutgoingtrafficdifferences