Abstract: 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.

Abstract: A blockchain service receives a first request to insert a first value associated with a transaction into a blockchain. In response, the blockchain service calls a commitment service to obtain a commitment based on the first value. The blockchain service then inserts the commitment into the blockchain at a block associated with the transaction. When the blockchain service subsequently receives a second request to confirm whether a second value matches the first value, it can obtain the commitment from the blockchain. This obtained commitment is then passed to the commitment service along with the second value. The blockchain service then receives a confirmation from the commitment service whether the first value matches the second value. The blockchain service can provide a reply to the second request encapsulating the confirmation. Other variations are provided in which residual amount values can be confirmed. Related apparatus, systems, techniques and articles are also described.

Abstract: A blockchain service receives a first request to insert a first value associated with a transaction into a blockchain. In response, the blockchain service calls a commitment service to obtain a commitment based on the first value. The blockchain service then inserts the commitment into the blockchain at a block associated with the transaction. When the blockchain service subsequently receives a second request to confirm whether a second value matches the first value, it can obtain the commitment from the blockchain. This obtained commitment is then passed to the commitment service along with the second value. The blockchain service then receives a confirmation from the commitment service whether the first value matches the second value. The blockchain service can provide a reply to the second request encapsulating the confirmation. Other variations are provided in which residual amount values can be confirmed. Related apparatus, systems, techniques and articles are also described.

Abstract: Disclosed herein are system, method, and computer program product embodiments for pooling requirements, such as placing of multiple purchase orders, while preserving the privacy of the requirements provided by requesters placing the orders. The approach involves receiving first encrypted information comprising a first request from a first client and second encrypted information comprising a second request from a second client. An encrypted intersection result of the first request and the second request can then be calculated using the first encrypted information and the second encrypted information, in their encrypted form without the need to decrypt either.

Abstract: Disclosed herein are computer-implemented method, system, and computer-program product (computer-readable storage medium) embodiments for benchmarking with statistics in a way that reduces leakage, preserving privacy of participants and secrecy of participant data. An embodiment includes receiving a plurality of encrypted values and computing a composite statistic corresponding to at least a subset of the plurality of encrypted values. An embodiment may further include outputting the at least one composite statistic. The composite statistic may be calculated to be distinct from any encrypted value of the plurality of encrypted values, thereby preserving privacy. Further embodiments may also include generating a comparison between the composite statistic and a given encrypted value of the plurality of encrypted values, as well as outputting a result of the comparison.

Abstract: 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.