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Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection

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Bibliographic Details
Published in:International Journal of Information Technology and Computer Science
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Information Technology and Computer Science
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78393
institution FRELIP
journal_source_facet International Journal of Information Technology and Computer Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
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 Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_auth Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_full Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_fullStr Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_full_unstemmed Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_short Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
title_sort transformer framework enhanced by large language models for image-based multi-class malware detection
topic Computer Science
General
Computer Science
url https://www.mecs-press.org/ijitcs/ijitcs-v18-n3/v18n3-11.html