A Protocol of Secure Multi-party Multi-data Ranking and Its Application in Privacy Preserving Sequential Pattern Mining

A secure multi-party multi-data ranking protocol was proposed, which was not related to any specific encryption algorithm. And it was shown that the protocol was correct and secure in the semi-honest model. A privacy-preserving sequential pattern mining solution was also designed based on secure multi-party sum protocol and secure multi-party multi-data raking protocol and a simple analysis of this solution was given. This solution can be used in many aspects: privacy-preserving consumptive action analysis of multi-marketplace, privacy-preserving disease diagnose of multi-hospital and so on.