OpenQKD Use-case for Securing Sensitive Medical Data at rest and in transit

Quantum Key Distribution typically delivers symmetric keys to protect data in transit. For data at rest the method of secret sharing describes the distribution of data among a given number of storages in such a way that for reconstruction only a certain smaller number of shares is strictly required. This is proven mathematically with the consequence to categorize secret sharing to be ITS matching well to QKD. The research of the FP7-funded projects Archistar and Prismacloud [1] have been commercialized by the spin-off fragmentiX and subsequently used for OpenQKD [2] . As a medical use case in OpenQKD Whole Slide Images from digital pathology together with genetic data have been split into three fragments with the requirement to combine two fragments to retrieve full information. These fragments have been stored at different locations and the distribution to the datacenters has been secured by QKD.