Transforms static bytecode and memory snapshots of Android apps into audio signals processed by spectral features and deep learning models to detect malware at up to 98% accuracy.
In: Proceedings of the 10th Innovations in Soft- ware Engineering Conference
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The Sound of Malware: A Memory Forensics Approach for Android Malware Analysis via Audio Signals
Transforms static bytecode and memory snapshots of Android apps into audio signals processed by spectral features and deep learning models to detect malware at up to 98% accuracy.