Unsupervised representation learning for BGP anomaly detection using graph auto-encoders - Université de La Réunion
Journal Articles ITU Journal on Future and Evolving Technologies Year : 2024

Unsupervised representation learning for BGP anomaly detection using graph auto-encoders

Domains

Computer Science [cs] Machine Learning [cs.LG] Networking and Internet Architecture [cs.NI]
Fichier principal
Vignette du fichier
S-JNL-VOL5.ISSUE1-2024-A09-PDF-E.pdf (4.14 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Tahiry Razafindralambo  : Connect in order to contact the contributor

https://hal.univ-reunion.fr/hal-04531984

Submitted on : Thursday, April 11, 2024-1:40:11 PM

Last modification on : Monday, April 29, 2024-11:28:04 AM

Long-term archiving on : Friday, July 19, 2024-9:42:54 AM

Download

Dates and versions

hal-04531984 , version 1 (11-04-2024)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

Cite

Kevin Hoarau, Tahiry Razafindralambo, Pierre Ugo Tournoux. Unsupervised representation learning for BGP anomaly detection using graph auto-encoders. ITU Journal on Future and Evolving Technologies, 2024, 5 (1), pp.120-133. ⟨10.52953/CTFY7896⟩. ⟨hal-04531984⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

AFRIQ UNIV-REUNION LIM PAPANGUE FST-REUNION
97 View
105 Download

Altmetric

Share

More