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

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Bibliographic Details
Published in:International Journal of Data Science and Analytics
Format: Online Article RSS Article
Published: 2026
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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
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
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_auth An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
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_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