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 19th ACM Asia Conference on Computer and Communi- cations Security
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UNVERDICTED 3representative citing papers
NanoTag enables byte-granular overflow detection on unmodified MTE binaries by combining hardware tagging with selective software tripwire checks on the Scudo allocator.
Burnyard proposes binary emulation for malware analysis to produce CSV event traces as a lighter alternative to sandboxing.
citing papers explorer
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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.
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NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
NanoTag enables byte-granular overflow detection on unmodified MTE binaries by combining hardware tagging with selective software tripwire checks on the Scudo allocator.
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Burnyard: Future of Malware Analysis
Burnyard proposes binary emulation for malware analysis to produce CSV event traces as a lighter alternative to sandboxing.