Spatial data sharing with secure multi-party computation for exploratory spatial data analysis. (arXiv:2207.13069v1 [cs.CR])

Spatial data sharing plays a significant role in opening data research and
promoting government agency transparency. However, valuable spatial data, like
high-precision geographic information and personal traffic records, cannot be
made public because they may incur leakage risks such as intrusion, theft, and
the unauthorised sale of proprietary information. When participants with
confidential data distrust each other but want to use the other datasets for
calculations, the most common solution is to provide their original data to a
trusted third …

analysis computation data data analysis party sharing