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August 2019
HLMD: a signature-based approach to hardware-level behavioral malware detection and classification
The Journal of Supercomputing (JSCO), Volume 75, Issue 8Pages 5551–5582https://doi.org/10.1007/s11227-019-02810-z
Abstract
Malicious programs, or malware, often use code obfuscation techniques to make static analysis difficult. To deal with this problem, various behavioral detection techniques have been proposed that focus on runtime behavior to distinguish between ...
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