research-article

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

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Zhongyuan LiangAuthors Info & Claims

BIC '21: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing

Pages 208 - 213

https://doi.org/10.1145/3448748.3448781

Published: 21 March 2021 Publication History

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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.

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Cited By

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Hassan MShukur Z(2023)A Systematic Review of User Authentication Security in Electronic Payment SystemProceedings of International Conference on Data Science and Applications10.1007/978-981-19-6631-6_10(121-138)Online publication date: 17-Feb-2023
https://doi.org/10.1007/978-981-19-6631-6_10

Index Terms

Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM
1. Applied computing
  1. Operations research
    1. Forecasting

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Published In

BIC '21: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing

January 2021

445 pages

ISBN:9781450390002

DOI:10.1145/3448748

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Arizona: University of Arizona

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 March 2021

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BIC 2021

BIC 2021: 2021 International Conference on Bioinformatics and Intelligent Computing

January 22 - 24, 2021

Harbin, China

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Hassan MShukur Z(2023)A Systematic Review of User Authentication Security in Electronic Payment SystemProceedings of International Conference on Data Science and Applications10.1007/978-981-19-6631-6_10(121-138)Online publication date: 17-Feb-2023
https://doi.org/10.1007/978-981-19-6631-6_10

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Virtual Credit Cards on Mobile for M-Commerce Payment

Study on Mobile E-commerce Security Payment System

Payment Applications Make E-Commerce Mobile