Sketching of interactive VoIP traffic with multivariate statistical learning-based classification
Sketching of interactive VoIP traffic with multivariate statistical learning-based classification
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Publisher
Amsterdam: IOS Press BV
Journal title
Language
English
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Publisher
Amsterdam: IOS Press BV
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Scope and Contents
Contents
Classifying VoIP (Voice over Internet Protocol) traffic is vital for optimizing network performance and Quality of Service (QoS). This study introduces the Multivariate Statistical-Based Classification (MVSC) system, designed to classify network traffic with high accuracy and efficiency. As traditional methods struggle in the diverse and complex la...
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Full title
Sketching of interactive VoIP traffic with multivariate statistical learning-based classification
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TN_cdi_proquest_journals_3043875243
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3043875243
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ISSN
1064-1246
E-ISSN
1875-8967
DOI
10.3233/JIFS-231113