Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

Malware, such as spyware, ransomware, and self-replicating worms, is designed to steal credentials and gain remote access while obfuscating its code to evade detection by traditional analysis systems. The lack of RGB image-based malware datasets hampers the performance of existing deep learning (DL)...

Full description

Bibliographic Details

Main Author:	Chowdhury Sajadul Islam
Other Authors:	Madihah Mohd Saudi [supervisor]
Format:	thesis::doctoral thesis
Language:	en_US
Published:	Universiti Sains Islam Malaysia 2026
Subjects:	Malware (Computer software) > Detection Computer security Deep learning (Machine learning) Pattern recognition systems Convolutional neural networks (Computer science) Parallel processing (Electronic computers) Image processing > Digital techniques
Tags:	Add Tag No Tags, Be the first to tag this record!