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Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach

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Bibliographic Details
Published in:EURASIP Journal on Wireless Communications and Networking
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title EURASIP Journal on Wireless Communications and Networking
description
discipline_display Digital and Wireless Communication
discipline_facet Digital and Wireless Communication
format Online Article
RSS Article
genre Journal Article
id rss_article:76606
institution FRELIP
journal_source_facet EURASIP Journal on Wireless Communications and Networking
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
Digital and Wireless Communication
General
Digital and Wireless Communication
sub_discipline_display General
sub_discipline_facet General
subject_display Digital and Wireless Communication
General
Digital and Wireless Communication
Digital and Wireless Communication
General
Digital and Wireless Communication
subject_facet Digital and Wireless Communication
General
Digital and Wireless Communication
title Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_auth Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_full Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_fullStr Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_full_unstemmed Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_short Proactive security in cognitive radio network: an AI-driven trust and anomaly detection approach
title_sort proactive security in cognitive radio network: an ai-driven trust and anomaly detection approach
topic Digital and Wireless Communication
General
Digital and Wireless Communication
url https://link.springer.com/article/10.1186/s13638-026-02626-5