Creating a cloak for grid data in the cloud

Phys.org  April 19, 2019 Grid operators perform complex computations of very sensitive data to deliver power to consumers. Cloud-based tools can help manage the data and facilitate computation, but utility owners and system operators are concerned about security. Researchers at Argonne National Laboratory are developing framework which masks sensitive data and provides for secure computation. The Argonne framework warps, or “perturbs,” the model and data being sent for calculations, changing key variables and equations. A disguised version of the problem goes to a cloud-based “solver” computer, and the answer is returned to a local, secure server for decoding. During the […]