Analysis of stability of the user’s keyboard handwriting characteristics in the biometric authentication systems
Consideration is given to the use of biometric characteristics in order to increase the efficiency of user authentication. An identifier that uses biometric characteristics is inextricably linked to the user, and it is virtually impossible to use it unauthorized. As a biometric characteristic it is expedient to use a keyboard handwriting. Keyboard handwriting, or rhythm of typing, displays a way of typing on a keyboard that is specific to a particular user. In addition, it is quite simple to implement and does not require additional hardware costs. Moreover, the use of keyboard writing when entering a password eliminates the main disadvantages of classical password systems and systems based on access cards. The focus of the research was on the sustainability of the time characteristics of the keyboard handwriting of a particular user over a long period of time. To implement the admission of the user to the computer system, an algorithm based on the Heming distance is selected. According to the chosen algorithm an algorithm for forming a vector of biometric characteristics of the user is developed, which includes the duration of holding a specific key and the time between pressing the neighboring keys. An algorithm for forming a user's biometric standard is developed. To analyze the use of keyboard handwriting, software applications that implement the user's access based on keyboard handwriting were developed, as well as a program for collecting time characteristics. Both applications use the developed algorithms. To study the constancy of handwriting time characteristics, an empirical study was conducted. For this purpose, a group of individuals is selected, each of which has a computer input at an adequate level. They all entered the proposed phrase within a year. The obtained statistical data, on the basis of which, the average values and values of the average square deviation of the time characteristics of keyboard handwriting at the various time intervals are calculated. Estimated probability of correct user recognition by its frequency in n independent experiments. As a result of the study, the persistence of user keyboard handwriting as a biometric characteristic for use in computer data protection systems, in particular, authentication systems, was analyzed.
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ISSN 2411-1031 (Print), ISSN 2518-1033 (Online)