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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Universidade Federal do Rio Grande
2010-12-01
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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. |
first_indexed | 2024-04-13T06:06:33Z |
format | Article |
id | doaj.art-e651384a5e064bb297a30dcd1d7a7bd8 |
institution | Directory Open Access Journal |
issn | 0102-7352 2358-3452 |
language | English |
last_indexed | 2024-04-13T06:06:33Z |
publishDate | 2010-12-01 |
publisher | Universidade Federal do Rio Grande |
record_format | Article |
series | Vetor |
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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