Dynamic keystroke analysis using AR model

Eltahir, Wasil Elsadig 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.

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	3352/6951
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:	08 May 2013 16:43
Last Modified:	12 Jun 2020 16:08
URI:	http://irep.iium.edu.my/id/eprint/6951

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