Keystroke pressure-based typing biometrics authentication system using support vector machines

Martono, Wahyudi and Ali, Hasimah and Salami, Momoh Jimoh Eyiomika (2007) Keystroke pressure-based typing biometrics authentication system using support vector machines. In: International Conference on Computational Science and Its Application ICCSA 2007, 26 - 29th August 2007, Kuala Lumpur.

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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 pressure-based 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. Support vector machines (SVMs), which is relatively new machine learning, is used as a pattern matching method. The effectiveness of the proposed system is evaluated based upon False Reject Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the proposed system is effective for biometric-based security system.

Item Type:	Conference or Workshop Item (Speech/Talk)
Additional Information:	4116/7875
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	09 May 2013 16:32
Last Modified:	22 Jun 2017 11:14
URI:	http://irep.iium.edu.my/id/eprint/7875

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