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Investigating Black-Box Function Recognition Using Hardware Performance Counters. (arXiv:2204.11639v2 [cs.CR] UPDATED)
April 27, 2022, 1:20 a.m. | Carlton Shepherd, Benjamin Semal, Konstantinos Markantonakis
cs.CR updates on arXiv.org arxiv.org
We present new methods and results for discovering information about
black-box program functions using hardware performance counters (HPC), where an
investigator can only invoke and measure the results of function calls.
Important use cases include analysing compiled libraries, e.g. static and
dynamic link libraries, and trusted execution environment (TEE) applications.
Drawing inspiration from recent literature on malware classification, we
develop and evaluate a machine learning-based approach using information from
HPCs for function recognition. We use this to classify a comprehensive …
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