Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection

Saved in:
Bibliographic Details
Published in:International Journal of Data Science and Analytics
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553683579437058
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Data Science and Analytics
description
discipline_display Big data and data science
discipline_facet Big data and data science
format Online Article
RSS Article
genre Journal Article
id rss_article:82898
institution FRELIP
journal_source_facet International Journal of Data Science and Analytics
last_indexed 2026-06-20T21:40:56.151Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
Big data and data science
General
Big data and data science
sub_discipline_display General
sub_discipline_facet General
subject_display Big data and data science
General
Big data and data science
subject_facet Big data and data science
General
Big data and data science
title An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_alt Un marco Bi-LSTM impulsado por optimización adaptativa de guepardo para detección eficiente de intrusiones en redes
Un cadre Bi-LSTM adaptatif piloté par l'optimisation du guépard pour la détection efficace des intrusions réseau
Uma estrutura Bi-LSTM orientada por otimização adaptativa de chita para detecção eficiente de intrusão em rede
title_auth An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_es_txt Un marco Bi-LSTM impulsado por optimización adaptativa de guepardo para detección eficiente de intrusiones en redes
title_fr_txt Un cadre Bi-LSTM adaptatif piloté par l'optimisation du guépard pour la détection efficace des intrusions réseau
title_full An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_fullStr An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_full_unstemmed An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_pt_txt Uma estrutura Bi-LSTM orientada por otimização adaptativa de chita para detecção eficiente de intrusão em rede
title_short An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
title_sort an adaptive cheetah optimization-driven bi-lstm framework for efficient network intrusion detection
topic Big data and data science
General
Big data and data science
url https://link.springer.com/article/10.1007/s41060-026-01122-9