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Biometric verification of computer users with probabilistic and cascade forward neural networks

Lookup NU author(s): Steven Shorrock, Professor Satnam Dlay, Dr Dave Atkinson

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Abstract

The number of people with access to the Internet continues to grow at a phenomenal rate. The potential for e-commerce on the web is huge, but fears about security are holding it back. Authentication of a person's identity is a major concern in the fight against fraud. We present a method of identifying a computer user by using the unique rhythm generated when typing on a keyboard. Three neural networks, the cascade forward neural network (CFNN), probabilistic neural network (PNN) and traditional backpropagation neural network (BPNN) are implemented on two types of data set. Each networks performance and suitability to the task is evaluated. The PNN is seen to outperform the BPNN and a novel implementation based around the CFNN displays a great deal of promise.


Publication metadata

Author(s): Shorrock S, Yannopoulos A, Dlay SS, Atkinson DJ

Publication type: Book Chapter

Publication status: Published

Book Title: Advances in Physics, Electronics and Signal Processing Applications

Year: 2000

Pages: 267-272

Print publication date: 01/01/2000

Publisher: World Scientific and Engineering Society Press

URL: http://www.wseas.us/e-library/conferences/athens2000/Papers2000/423.pdf

Library holdings: Search Newcastle University Library for this item

ISBN: 9608052173


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