Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method.
Network traffic behavior is constantly changing due to issues as high service demand on a given service, network attacks, emergence of new services, among others. Although network traffic characterization and classification is a well-known task, it must mainly be effective in real-time anomalous sit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade de Fortaleza
2009-05-01
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| Series: | Revista Tecnologia |
| Subjects: | |
| Online Access: | https://periodicos.unifor.br/tec/article/view/73 |
| _version_ | 1818147347742326784 |
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| author | Raimir Holanda José Everardo Bessa Maia Gabriel Paulino |
| author_facet | Raimir Holanda José Everardo Bessa Maia Gabriel Paulino |
| author_sort | Raimir Holanda |
| collection | DOAJ |
| description | Network traffic behavior is constantly changing due to issues as high service demand on a given service, network attacks, emergence of new services, among others. Although network traffic characterization and classification is a well-known task, it must mainly be effective in real-time anomalous situations
in order to help to keep the network with good performance. Classical approaches such as the use of artificial intelligence mechanisms have been modified in order to attempt requirements. However, in general, such adaptations are slow, need of many resources and a constant participation of the network administrator. This work presents an investigation of a methodology for characterize and
classify patterns into broadband network traffic. This methodology is based on flow clustering analysis, a multivariate statistical method employed for discovering associations and structures in collected data. The clustering analysis enables the extraction of patterns of data flows. |
| first_indexed | 2024-12-11T12:33:48Z |
| format | Article |
| id | doaj.art-7cb4023324fd4bada3b2c66e3530dea0 |
| institution | Directory Open Access Journal |
| issn | 0101-8191 2318-0730 |
| language | Portuguese |
| last_indexed | 2024-12-11T12:33:48Z |
| publishDate | 2009-05-01 |
| publisher | Universidade de Fortaleza |
| record_format | Article |
| series | Revista Tecnologia |
| spelling | doaj.art-7cb4023324fd4bada3b2c66e3530dea02022-12-22T01:07:10ZporUniversidade de FortalezaRevista Tecnologia0101-81912318-07302009-05-0127271Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method.Raimir Holanda0José Everardo Bessa Maia1Gabriel Paulino2Universidade de FortalezaUniversidade de Fortalezagabrieljr@yahoo.comNetwork traffic behavior is constantly changing due to issues as high service demand on a given service, network attacks, emergence of new services, among others. Although network traffic characterization and classification is a well-known task, it must mainly be effective in real-time anomalous situations in order to help to keep the network with good performance. Classical approaches such as the use of artificial intelligence mechanisms have been modified in order to attempt requirements. However, in general, such adaptations are slow, need of many resources and a constant participation of the network administrator. This work presents an investigation of a methodology for characterize and classify patterns into broadband network traffic. This methodology is based on flow clustering analysis, a multivariate statistical method employed for discovering associations and structures in collected data. The clustering analysis enables the extraction of patterns of data flows.https://periodicos.unifor.br/tec/article/view/73caracterização e classificação de tráfego. estatística multivariada. |
| spellingShingle | Raimir Holanda José Everardo Bessa Maia Gabriel Paulino Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. Revista Tecnologia caracterização e classificação de tráfego. estatística multivariada. |
| title | Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. |
| title_full | Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. |
| title_fullStr | Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. |
| title_full_unstemmed | Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. |
| title_short | Broadband Network Traffic Characterization and Classification Using a Multivariate Statistical Method. |
| title_sort | broadband network traffic characterization and classification using a multivariate statistical method |
| topic | caracterização e classificação de tráfego. estatística multivariada. |
| url | https://periodicos.unifor.br/tec/article/view/73 |
| work_keys_str_mv | AT raimirholanda broadbandnetworktrafficcharacterizationandclassificationusingamultivariatestatisticalmethod AT joseeverardobessamaia broadbandnetworktrafficcharacterizationandclassificationusingamultivariatestatisticalmethod AT gabrielpaulino broadbandnetworktrafficcharacterizationandclassificationusingamultivariatestatisticalmethod |