Authors
Fedotov A.
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Degree
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Omsk Transport University |
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E-mail
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fedotov1609@gmail.com |
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Location
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Omsk |
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Articles
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Identification potential of keyboard handwriting considering vibration parameters and force keystrokesThe article considers the problem of data protection from unauthorized access by means of user identification
by keyboard handwriting. The estimation of informativeness of different features that characterize
the keyboard handwriting of subjects, including the dynamics of change in pressure when you
press the keys and keyboard settings vibration. The category of new features, based on using of wavelet
transform Daubechies D6 to function of the pressure fingers on the keys and keyboard functions of
vibration while typing, was proposed. The laws of distribution of basic and additional features of keyboard
handwriting were determined. To form the base of biometric samples a keyboard was designed
with the use of special sensors. The estimation of the correlation dependence of features was made. It is
determined that the correlation between basic features (temporal characteristics of keystrokes) and additional
features (pressure on the keys and the keyboard vibration) in more than 80% of cases is weak.
Thus, in the proposed new attributes contain information about the subject. An assessment of the probability
of identification errors based on the Bayesian strategy using the various features of the spaces was
made. It is found that additional features can reduce the average number of errors is more than 7 times.
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