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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