Application of Deep Learning Models for Real-Time Automatic Malware Detection

Application of Deep Learning Models for Real-Time Automatic Malware Detection

The increase in the sophistication and volume of cyberattacks has made traditional malware detection methods, such as those based on signatures and heuristics, obsolete. These conventional techniques struggle to identify new malware variants that employ advanced evasion tactics, resulting in signifi...

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Bibliographic Details
Main Authors: Rommel Gutierrez, William Villegas-Ch, Lorena Naranjo Godoy, Aracely Mera-Navarrete, Sergio Lujan-Mora
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Malware detection
deep learning
static and dynamic analysis
cybersecurity
Online Access:https://ieeexplore.ieee.org/document/10620215/

Internet

https://ieeexplore.ieee.org/document/10620215/

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