Dynamic keystroke analysis using AR model

The design and development of a pressure sensor based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke, represented by its time duration and force generates a waveform, which when concatenated results in a user’s typing pattern for the typed passw...

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Main Authors:	Eltahir, Wasil, Salami, Momoh Jimoh Eyiomika, Ismail, Ahmad Faris, Lai, Weng Kin
Format:	Conference or Workshop Item
Language:	English
Published:	2004
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/6951/ http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf

id	iium-6951
recordtype	eprints
spelling	iium-69512013-05-08T08:43:29Z http://irep.iium.edu.my/6951/ Dynamic keystroke analysis using AR model Eltahir, Wasil Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin T Technology (General) The design and development of a pressure sensor based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke, represented by its time duration and force generates a waveform, which when concatenated results in a user’s typing pattern for the typed password. The design of the BAS is in two stages, whereby the hardware comprising the pressure sensor and the associated data acquisition system (DAS) is first implemented. The system DAS has been designed using LabVIEW software. Furthermore several data preprocessing techniques have been used to improve the quality of the acquired waveforms. The second stage involves a classifier to authenticate the users. This paper discusses a new data classifier technique based on Autoregressive signal modeling (AR), which has been developed so as to correctly identify and authenticate the users of the system. Some experiments have been conducted to show the validity of the overall BAS performance. The results obtained have shown that this proposed system is reliable with many potential applications for computer security. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf Eltahir, Wasil and Salami, Momoh Jimoh Eyiomika and Ismail, Ahmad Faris and Lai, Weng Kin (2004) Dynamic keystroke analysis using AR model. In: IEEE International Conference on Industrial Technology, 8 - 10th December 2004, Hammamet; Tunisia.
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) Eltahir, Wasil Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin Dynamic keystroke analysis using AR model
description	The design and development of a pressure sensor based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke, represented by its time duration and force generates a waveform, which when concatenated results in a user’s typing pattern for the typed password. The design of the BAS is in two stages, whereby the hardware comprising the pressure sensor and the associated data acquisition system (DAS) is first implemented. The system DAS has been designed using LabVIEW software. Furthermore several data preprocessing techniques have been used to improve the quality of the acquired waveforms. The second stage involves a classifier to authenticate the users. This paper discusses a new data classifier technique based on Autoregressive signal modeling (AR), which has been developed so as to correctly identify and authenticate the users of the system. Some experiments have been conducted to show the validity of the overall BAS performance. The results obtained have shown that this proposed system is reliable with many potential applications for computer security.
format	Conference or Workshop Item
author	Eltahir, Wasil Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin
author_facet	Eltahir, Wasil Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin
author_sort	Eltahir, Wasil
title	Dynamic keystroke analysis using AR model
title_short	Dynamic keystroke analysis using AR model
title_full	Dynamic keystroke analysis using AR model
title_fullStr	Dynamic keystroke analysis using AR model
title_full_unstemmed	Dynamic keystroke analysis using AR model
title_sort	dynamic keystroke analysis using ar model
publishDate	2004
url	http://irep.iium.edu.my/6951/ http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf
first_indexed	2023-09-18T20:16:07Z
last_indexed	2023-09-18T20:16:07Z
_version_	1777407799103324160

Dynamic keystroke analysis using AR model

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