A Deep Learning-Based Ensemble Framework for Robust Android Malware Detection

A Deep Learning-Based Ensemble Framework for Robust Android Malware Detection

The exponential growth of Android applications has resulted in a surge of malware threats, posing severe risks to user privacy and data security. To address these challenges, this study introduces a novel malware detection approach utilizing an ensemble of Convolutional Neural Networks (CNNs) for en...

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Bibliographic Details
Main Authors:	Sainag Nethala, Pronoy Chopra, Khaja Kamaluddin, Shahid Alam, Soltan Alharbi, Mohammad Alsaffar
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Android malware detection convolutional neural networks malware classification machine learning ensemble learning attention mechanism
Online Access:	https://ieeexplore.ieee.org/document/10925357/
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