An Efficient DenseNet-Based Deep Learning Model for Malware Detection

An Efficient DenseNet-Based Deep Learning Model for Malware Detection

Recently, there has been a huge rise in malware growth, which creates a significant security threat to organizations and individuals. Despite the incessant efforts of cybersecurity research to defend against malware threats, malware developers discover new ways to evade these defense techniques. Tra...

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Bibliographic Details
Main Authors:	Jeyaprakash Hemalatha, S. Abijah Roseline, Subbiah Geetha, Seifedine Kadry, Robertas Damaševičius
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Entropy
Subjects:	malware detection malware visualization cybersecurity densely connected convolutional network deep learning
Online Access:	https://www.mdpi.com/1099-4300/23/3/344

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