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

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 m...

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Main Authors:	Martono, Wahyudi, Ali, Hasimah, Salami, Momoh Jimoh Eyiomika
Format:	Conference or Workshop Item
Language:	English
Published:	Springer-Verlag Berlin Heidelberg 2007
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/1/Keystroke_Pressure-Based_Typing_Biometrics.pdf

id	iium-7875
recordtype	eprints
spelling	iium-78752017-06-22T03:14:53Z http://irep.iium.edu.my/7875/ Keystroke pressure-based typing biometrics authentication system using support vector machines Martono, Wahyudi Ali, Hasimah Salami, Momoh Jimoh Eyiomika T Technology (General) 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. Springer-Verlag Berlin Heidelberg 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7875/1/Keystroke_Pressure-Based_Typing_Biometrics.pdf 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. https://link.springer.com/chapter/10.1007%2F978-3-540-74477-1_8 10.1007/978-3-540-74477-1_8
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Martono, Wahyudi Ali, Hasimah Salami, Momoh Jimoh Eyiomika Keystroke pressure-based typing biometrics authentication system using support vector machines
description	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.
format	Conference or Workshop Item
author	Martono, Wahyudi Ali, Hasimah Salami, Momoh Jimoh Eyiomika
author_facet	Martono, Wahyudi Ali, Hasimah Salami, Momoh Jimoh Eyiomika
author_sort	Martono, Wahyudi
title	Keystroke pressure-based typing biometrics authentication system using support vector machines
title_short	Keystroke pressure-based typing biometrics authentication system using support vector machines
title_full	Keystroke pressure-based typing biometrics authentication system using support vector machines
title_fullStr	Keystroke pressure-based typing biometrics authentication system using support vector machines
title_full_unstemmed	Keystroke pressure-based typing biometrics authentication system using support vector machines
title_sort	keystroke pressure-based typing biometrics authentication system using support vector machines
publisher	Springer-Verlag Berlin Heidelberg
publishDate	2007
url	http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/ http://irep.iium.edu.my/7875/1/Keystroke_Pressure-Based_Typing_Biometrics.pdf
first_indexed	2023-09-18T20:17:26Z
last_indexed	2023-09-18T20:17:26Z
_version_	1777407881346285568

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

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