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Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things

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Published in:Discover Internet of Things
Format: Online Article RSS Article
Published: 2026
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container_title Discover Internet of Things
description
discipline_display Computer Science
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genre Journal Article
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institution FRELIP
journal_source_facet Discover Internet of Things
last_indexed 2026-06-12T02:00:45.559Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_auth Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_full Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_fullStr Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_full_unstemmed Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_short Enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
title_sort enhanced network connectivity with deep learning enabled intrusion detection–based security mechanism for cluster based internet of things
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s43926-026-00389-5