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Sketching of interactive VoIP traffic with multivariate statistical learning-based classification

Sketching of interactive VoIP traffic with multivariate statistical learning-based classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3043875243

Sketching of interactive VoIP traffic with multivariate statistical learning-based classification

About this item

Full title

Sketching of interactive VoIP traffic with multivariate statistical learning-based classification

Publisher

Amsterdam: IOS Press BV

Journal title

Journal of intelligent & fuzzy systems, 2024-04, Vol.46 (4), p.9209

Language

English

Formats

Publication information

Publisher

Amsterdam: IOS Press BV

More information

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...

Alternative Titles

Full title

Sketching of interactive VoIP traffic with multivariate statistical learning-based classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3043875243

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3043875243

Other Identifiers

ISSN

1064-1246

E-ISSN

1875-8967

DOI

10.3233/JIFS-231113

How to access this item