A Privacy-Preserving Benchmarking Platform
Florian Kerschbaum · Repository KITopen (Karlsruhe Institute of Technology) · 2010
A privacy-preserving benchmarking platform is practically feasible, i.e. its performance is tolerable to the user on current hardware while fulfilling functional and security requirements. This dissertation designs, architects, and evaluates an implementation of such a platform. It contributes a novel (secure computation) benchmarking protocol, a novel method for computing peer groups, and a realistic evaluation of the first ever privacy-preserving benchmarking platform.