Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking
Abstract
Benchmarking is an essential tool for industrial organizations to identify potentials that allows them to improve their competitive position through operational and strategic means. However, the handling of sensitive information, in terms of (i) internal company data and (ii) the underlying algorithm to compute the benchmark, demands strict (technical) confidentiality guarantees—an aspect that existing approaches fail to address adequately. Still, advances in private computing provide us with building blocks to reliably secure even complex computations and their inputs, as present in industry benchmarks. In this paper, we thus compare two promising and fundamentally different concepts (hardware- and software-based) to realize privacy-preserving benchmarks. Thereby, we provide detailed insights into the concept-specific benefits. Our evaluation of two real-world use cases from different industries underlines that realizing and deploying secure information systems for industry benchmarking is possible with today’s building blocks from private computing.
Dr. rer. nat. Jan Pennekamp
Postdoctoral Researcher
Johannes Lohmöller, M.Sc.
Researcher
Eduard Vlad
Joscha Loos
Niklas Rodemann
Patrick Sapel
Ina Berenice Fink, M.Sc.
Researcher
Seth Schmitz
Christian Hopmann
Matthias Jarke
Günther Schuh
