Convolutional long short-term memory for fileless malware detection
In cybersecurity, the rise of fileless malware poses a significant challenge to endpoint security. Traditional detection methods often fail against these sophisticated attacks, necessitating advanced techniques like deep learning models. This study highlights the limitations of Bi-Directional Long S...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu Publishing
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117331/ http://psasir.upm.edu.my/id/eprint/117331/1/117331.pdf |