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Deep learning based Sequential model for malware analysis using Windows exe API Calls

Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection. This study is focused on metamorphic malware, which is the most advanced member of the malware f...

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Detalles Bibliográficos
Autores principales: Catak, Ferhat Ozgur, Yazı, Ahmet Faruk, Elezaj, Ogerta, Ahmed, Javed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924690/
https://www.ncbi.nlm.nih.gov/pubmed/33816936
http://dx.doi.org/10.7717/peerj-cs.285