Privacy preserving Particle Swarm Optimization method for Secure Multiparty Computation

Abstract

Many studies for privacy preserving data mining have been done. Secure Multiparty Computation (SMC) has been introduced for privacy preserving data. SMC was applied to some statistical computation methods. However, SMC needs to be applied to other complex computations for data mining. In this paper, we will propose a Particle Swarm Optimization (PSO) method for SMC and show the effectiveness in numerical simulation.