Inferring Computing Activity Using Physical Sensors

Principal Investigator:

Sean Peisert (PI)


Dipankar Dwivedi
Reinhard Gentz
Melissa Stockman

Graduate Students

Bogdan Copos (LBNL/UC Davis; Ph.D. 2017) → SRI International → Google

This project involves using power data for monitoring use of computing systems, including supercomputers and large computing centers. By using power data, as opposed to data provided by the computing environment itself, the technology collects the data non-invasively.  More information is available at the LBNL Innovation and Partnerships Office.

Publications resulting from this project:

Melissa Stockman, Dipankar Dwivedi, Reinhard Gentz, Sean Peisert, “Detecting Programmable Logic Controller Code Using Machine LearningInternational Journal of Critical Infrastructure Protection, accepted July 3, 2019. [DOI]

Bogdan Copos, Sean Peisert (advisor), Modeling Systems Using Side Channel Information. PhD dissertation, University of California, Davis, 2017.

More information is available on other LBNL R&D projects focusing on cybersecurity in general, as well as specifically on HPC Security projects.

Software resulting from this project:

Identifying Computational Operations Based on Power Measurements