Intelligent keystroke pressure-based typing biometrics authentication system using radial basis function network

Sulong, A. and Wahyudi, Martono and Siddiqi, Muhammad Umar (2009) Intelligent keystroke pressure-based typing biometrics authentication system using radial basis function network. In: Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009, 6-8 March 2009, Kuala Lumpur, Malaysia.

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Abstract

Security of an information system depends to a large extent on its ability to authenticate legitimate users as well as to withstand attacks of various kinds. Confidence in its ability to provide adequate authentication is, however, waning. This is largely due to the wrongful use of passwords by many users. In this paper, the design and development of keystroke pressurebased typing biometrics for individual user's verification which based on the analysis of habitual typing of individuals is discussed. The combination of maximum pressure exerted on the keyboard and time latency between keystrokes is used as features to create typing patterns for individual users so as to recognize authentic users and to reject impostors. Radial basis function network (RBFN), which is one of the artificial neural network, is used as a pattern matching method. The effectiveness of the proposed system is evaluated based upon False Reject Rate and False Accept Rate A series of experiment shows that the proposed system is effective for biometric-based security system.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4116/8042
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Nur' Aini Abu Bakar
Date Deposited:	17 Jul 2012 10:46
Last Modified:	14 Jun 2017 09:14
URI:	http://irep.iium.edu.my/id/eprint/8042

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