Multimodal malware classification using proposed ensemble deep neural network framework

Multimodal malware classification using proposed ensemble deep neural network framework

Abstract In the contemporary technological world, fortifying cybersecurity defense against dynamic threat landscapes is imperative. Malware detectors play a critical role in this endeavor, utilizing various techniques such as statistical analysis, static and dynamic analysis, and machine learning (M...

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Bibliographic Details
Main Authors: Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Malware detection
Multimodal analysis
Deep learning
Late fusion
Android malware
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-025-96203-3
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https://doi.org/10.1038/s41598-025-96203-3

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