Network traffic classification model based on attention mechanism and spatiotemporal features
Network traffic classification model based on attention mechanism and spatiotemporal features
About this item
Full title
Author / Creator
Hu, Feifei , Zhang, Situo , Lin, Xubin , Wu, Liu , Liao, Niandong and Song, Yanqi
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Traffic classification is widely used in network security and network management. Early studies have mainly focused on mapping network traffic to different unencrypted applications, but little research has been done on network traffic classification of encrypted applications, especially the underlying traffic of encrypted applications. To address t...
Alternative Titles
Full title
Network traffic classification model based on attention mechanism and spatiotemporal features
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_13ab5f905fce4e60bb80330bfa1da32f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_13ab5f905fce4e60bb80330bfa1da32f
Other Identifiers
ISSN
2510-523X,1687-4161
E-ISSN
2510-523X,1687-417X
DOI
10.1186/s13635-023-00141-4
