Efficient multi-party PSI and its application in port management

Abstract

Private Set Intersection (PSI) technology is a cryptographic tool that allows the parties holding private data to determine the intersection of sets in a joint computation without revealing any additional privacy information. As a critical component of secure multi-party computation, this technology has been widely used in the security domain of artificial intelligence and data mining. With the emergence of the era of multi-source data sharing, protocols for private set intersection computation applicable to multiple participants have also emerged. However, the performance of existing multi-party private set intersection (MPSI) protocols is suboptimal when some participants use devices with limited communication or computational capabilities, such as mobile devices. To overcome the above issues, we design a cloud-aided multi-party private set intersection protocol (Cloud-Aided-MPSI) based on oblivious programmable pseudorandom functions (OPPRF) and oblivious key–value stores (OKVS). Due to the protocol efficiently outsourcing partial computational and communication tasks to cloud servers, our performance has been further enhanced compared to existing work. Through the Cloud-Aided-MPSI protocol, we propose a port scheduling protocol for coordinated management scenarios of ships arriving and departing from ports. The protocol effectively addresses the privacy protection concerns of port management when scheduling the arrival and departure of ships. We analyze the performance of this protocol.