Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection

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Bibliographic Details
Main Author: Chang Lin
Format: Article
Language:English
Published: Polish Information Processing Society 2023-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_35/drp/pdf/2385.pdf
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author Chang Lin
author_facet Chang Lin
author_sort Chang Lin
collection DOAJ
format Article
id doaj-art-afea25696d8d4940ba6486709af23b0e
institution Kabale University
issn 2300-5963
language English
publishDate 2023-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-afea25696d8d4940ba6486709af23b0e2025-08-20T03:51:08ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632023-09-01351295129910.15439/2023F2385Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack DetectionChang Linhttps://annals-csis.org/Volume_35/drp/pdf/2385.pdf
spellingShingle Chang Lin
Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
Annals of computer science and information systems
title Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
title_full Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
title_fullStr Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
title_full_unstemmed Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
title_short Tackling Variable-length Sequences with High-cardinality Features in Cyber-attack Detection
title_sort tackling variable length sequences with high cardinality features in cyber attack detection
url https://annals-csis.org/Volume_35/drp/pdf/2385.pdf
work_keys_str_mv AT changlin tacklingvariablelengthsequenceswithhighcardinalityfeaturesincyberattackdetection