Attention-Based Automated Feature Extraction for Malware Analysis

Every day, hundreds of thousands of malicious files are created to exploit zero-day vulnerabilities. Existing pattern-based antivirus solutions face difficulties in coping with such a large number of new malicious files. To solve this problem, artificial intelligence (AI)-based malicious file detect...

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Detalles Bibliográficos
Autores principales: Choi, Sunoh, Bae, Jangseong, Lee, Changki, Kim, Youngsoo, Kim, Jonghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284474/
https://www.ncbi.nlm.nih.gov/pubmed/32443750
http://dx.doi.org/10.3390/s20102893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284474/
https://www.ncbi.nlm.nih.gov/pubmed/32443750
http://dx.doi.org/10.3390/s20102893

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