Deep learning for malware detection using API call graphs

The increasing use of computers in daily life resulted in a rise in sophisticated computer attacks, with malware continually evolving to bypass traditional security measures. This study focused on leveraging deep learning techniques for malware detection by analysing API call graphs, which represent...

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Bibliographic Details

Main Author:	Rajandaran, Usharani
Format:	Dissertation
Language:	English
Published:	Universiti Teknologi Malaysia 2026
Subjects:	General Works::Science::Electronic computers. Computer science General Works::Technology::Information technology Sustainable Development Goals (SDG)::Industry, Innovation and Infrastructure (SDG 9)
Online Access:	https://utmik.utm.my/handle/123456789/190846
Abstract	Abstract here