Private benchmarking cloud service with enhanced statistics

摘要

Embodiments allow comparison of key figures (e.g., costs, lead times) between different entities in a privacy-preserving manner, utilizing secure multi-party computation (MPC) approaches implemented by a central service provider. The central service provider receives encrypted key figure data from each of multiple players in a peer group. In one embodiment the central service provider executes a secure computation protocol comprising a semi-homomorphic encryption scheme exhibiting an additive homomorphic property. The central service provider returns to each player, a statistical measure (e.g., top quartile, bottom quartile) allowing comparison with the other players' key figures while preserving privacy. Alternative embodiments may return to the players, a statistical measure calculated from a Boolean or arithmetic circuit implemented at the central server using other secure computation approaches (e.g., garbled circuits, secret sharing, or (semi or fully) homomorphic encryption. Embodiments may find value in maintaining privacy of key figure data shared between competitors for benchmarking.