A multi-phased statistical learning based classification for network traffic
A multi-phased statistical learning based classification for network traffic
About this item
Full title
Author / Creator
Publisher
Amsterdam: IOS Press BV
Journal title
Language
English
Formats
Publication information
Publisher
Amsterdam: IOS Press BV
Subjects
More information
Scope and Contents
Contents
Application Traffic Identification is an imperative device for sorting out the system as it is the most popular approach to distinguish and characterize the network traffic created from different applications. The classification using conventional Port-based and Payload-based techniques has become counterproductive due to inconsistencies. However,...
Alternative Titles
Full title
A multi-phased statistical learning based classification for network traffic
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2497163051
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2497163051
Other Identifiers
ISSN
1064-1246
E-ISSN
1875-8967
DOI
10.3233/JIFS-201895
