A process-level telemetry framework using SSDeep fuzzy hashes of executables, strings, and symbol tables to identify and recognize software on HPC systems, demonstrated in a 12-user deployment on LUMI.
In: Euro-Par 2018: Parallel Processing: 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27-31
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SIREN: Software Identification and Recognition in HPC Systems
A process-level telemetry framework using SSDeep fuzzy hashes of executables, strings, and symbol tables to identify and recognize software on HPC systems, demonstrated in a 12-user deployment on LUMI.