SSDeep fuzzy hashes of executable files, combined with a random forest, classify preinstalled HPC applications into 92 classes and an unknown class with roughly 90% macro F1.
Systematically inferring i/o performance variability by examining repetitive job behavior
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Using Malware Detection Techniques for HPC Application Classification
SSDeep fuzzy hashes of executable files, combined with a random forest, classify preinstalled HPC applications into 92 classes and an unknown class with roughly 90% macro F1.