Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM

Abstract

The security of e-commerce mobile payment is a key issue that needs to be paid attention to when using mobile payment. Improvement of the security performance of e-commerce mobile payment will help promote its use. In order to avoid the risks of e-commerce mobile payment and provide timely warnings, a modeling method using support vector machines and particle swarm algorithm to model and analyze e-commerce mobile payment risks is proposed in this paper. On the basis of ensuring the safety of communication and completing secure wireless transactions, PSO-SVM is used to establis-h a sophisticated risk prediction mechanism to promote the further expansion of the application scope of e-commerce mo-bile payment technology.