yueyueL/DL-based-Android-Malware-Defenses-review
Papers, code and datasets about deep learning for Android malware defenses and malware detection
This project provides a comprehensive overview of how deep learning is used to defend against Android malware. It synthesizes information from 132 research papers, detailing what types of malware defenses exist, how Android applications are characterized for analysis, and the deep learning techniques employed. Security researchers and practitioners looking to understand the current landscape and future directions of AI-driven Android security would find this review valuable.
148 stars. No commits in the last 6 months.
Use this if you need a curated, in-depth understanding of deep learning applications for Android malware defense, including methodologies, data sources, and tools.
Not ideal if you are looking for ready-to-use software or a simple tutorial for implementing a specific deep learning model for malware detection.
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Nov 21, 2023
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