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Data augmentation based malware detection using convolutional neural networks

Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and reputation loss. Some of the most prominent examples of ransomware attacks in his...

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Detalles Bibliográficos
Autores principales:	Catak, Ferhat Ozgur, Ahmed, Javed, Sahinbas, Kevser, Khand, Zahid Hussain
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924722/ https://www.ncbi.nlm.nih.gov/pubmed/33816996 http://dx.doi.org/10.7717/peerj-cs.346

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