2011Journal of Jilin UniversityRequires access

Method of Multi-Factor Authentication Based on Neural Network

MA Shu-cai

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Abstract

In order to prevent network fraud and identity theft and to increase authentication security,an intelligent authentication method based on neural network and multi-factor was improved.Based on analysis of the composing and distinguishing of identification,this method focuses the customers action.An application model which can be used in e-commerce system is designed.Resolved the problem of traditional authentication method which depends on a few of identity factors,identity theft can be prevented,security of authentication is increased.

About this research paper

What this paper is about

In order to prevent network fraud and identity theft and to increase authentication security,an intelligent authentication method based on neural network and multi-factor was improved.Based on analysis of the composing and distinguishing of identification,this method focuses the customers action.An application model which can be used in e-commerce system is designed.Resolved the problem of traditional authentication method which depends on a few of identity factors,identity theft can be prevented,security of authentication is increased.

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Available abstract

In order to prevent network fraud and identity theft and to increase authentication security,an intelligent authentication method based on neural network and multi-factor was improved.Based on analysis of the composing and distinguishing of identification,this method focuses the customers action.An application model which can be used in e-commerce system is designed.Resolved the problem of traditional authentication method which depends on a few of identity factors,identity theft can be prevented,security of authentication is increased.

Key concepts: Multi-factor authentication, Authentication (law), Computer science, Identity (music), Artificial neural network, Computer security, Identity theft, Identification (biology)

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