Anders Andersen, Using secure multi-party computation when processing distributed health data, Proceedings of the 2013 International Conference on Security & Management, CSREA Press, 2013, ISBN 1-60132-259-3.
Patient related health data are typically located at different general practices and hospitals. When processing and analyzing such data, the provided infrastructure and toolset has to take into consideration legal, security and privacy issues. The combination of secure multi-party computations (SMC) algorithms, encryption, public key infrastructure (PKI), certificates, and a certificate authority (CA) is used to implement an infrastructure and a toolset for statistical analysis of health data. The general practices and hospitals are considered nodes in a computing graph, and at each node a sub-process performs the local part of the computation. The described approach tries to support a wide range of possible SMC algorithms and computing graphs.