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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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2024
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| Accès en ligne: | http://psasir.upm.edu.my/id/eprint/119873/1/119873.pdf |