Dynamic keystroke analysis using AR model

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dc.contributor.authorEltahir, Wasil E.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorIsmail, Ahmad F.
dc.contributor.authorLai, W. K.
dc.date.accessioned2019-10-24T10:41:43Z
dc.date.available2019-10-24T10:41:43Z
dc.date.issued2004-12-08
dc.description.abstractThe 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.en_US
dc.identifier.citationEltahir, W. E., Salami, M. J. E., Ismail, A. F., & Lai, W. K. (2004, December). Dynamic keystroke analysis using AR model. In 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT'04. (Vol. 3, pp. 1555-1560). IEEE.en_US
dc.identifier.uri10.1109/ICIT.2004.1490798
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/600
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectBiosensorsen_US
dc.subjectSensor systemsen_US
dc.subjectBiometricsen_US
dc.subjectAuthenticationen_US
dc.subjectForce sensorsen_US
dc.subjectConcatenated codesen_US
dc.subjectHardwareen_US
dc.subjectData acquisitionen_US
dc.subjectSoftware designen_US
dc.subjectData preprocessingen_US
dc.titleDynamic keystroke analysis using AR modelen_US
dc.typeArticleen_US
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