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Detecting android malware using deep learning algorithms: A survey
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DOI：10.1016/j.compeleceng.2024.109544.png)
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Abstract
En 中文
Malware designers and developers persistently endeavor to target smartphone users with the aim of collecting personal information, infringing on their privacy, and jeopardizing their security. Researchers from both academia and industry have leveraged deep learning algorithms to develop theoretical and practical approaches for detecting potential threats. This survey provides an extensive discussion of recent and relevant approaches that have been published, unveiling emerging technologies and highlighting lingering challenges in malware detection.
Keywords:
Smartphones
Android operating system
Intrusion detection
Mobile malware
Deep learning algorithm
Big data
Mobile application
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