Convolutional Long Short-Term Memory for fileless malware detection

In the realm of cybersecurity, the rise of fileless malware presents a significant challenge to endpoint security. Traditional malware detection methods often fall short against these sophisticated attacks, necessitating the use of advanced techniques such as deep learning models. This study addr...

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Bibliographic Details

Main Author:	Kareegalan, Kunaprasan
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Malware (Computer programs) Computer security Artificial intelligence (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/119873/1/119873.pdf