Performance of keystroke biometrics authentication system using Multilayer Perceptron neural network (MLP NN)

Harun, N., Dlay, Satnam and Woo, Wai Lok (2010) Performance of keystroke biometrics authentication system using Multilayer Perceptron neural network (MLP NN). In: CSNDSP 2010 - 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, 21st - 23rd July 2010, Newcastle upon Tyne, UK.

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Abstract

The use of computer has increased rapidly as well as the use of internet applications such as e-commerce, online banking services, webmail, and blogs. All internet applications require a password authentication scheme to make sure only the genuine individual can login to the application. Passwords and personal identification numbers (PIN) have traditionally been used to access such applications. However, it is easy for unauthorized persons to access these systems without detection. This paper addresses the issue of enhancing such systems using keystroke biometrics as a translucent level of user authentication. The paper focuses on using the time interval (key down-down) between keystrokes as a feature of individuals' typing patterns to recognize authentic users and reject imposters. A Multilayer Perceptron (MLP) neural network with a Back Propagation (BP) learning algorithm is used to train and validate the features.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Back Propagation (BP), Biometrics, Keystroke, Multilayer Perceptron (MLP) neural network, Verification
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	15 May 2019 11:17
Last Modified:	10 Oct 2019 18:48
URI:	http://nrl.northumbria.ac.uk/id/eprint/39319

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