Influence of destabilizing factors on the stability of user's handwritten signature indicators

Abstract

Consideration is given to the question of user`s handwritten signature parameters informativeness and stability during authentication. An identifier that uses biometric characteristics is inextricably linked to the user and it is almost impossible to use it without authorization. It is proposed to use dynamic biometric characteristics of users. Their advantage is that due to the presence of a dynamic component, the probability of their forgery by an attacker is very low. A handwritten signature is used as a biometric characteristic of the user. A handwritten signature is a socially and legally recognized biometric characteristic used for human authentication. It has a rather complex structure and high detail - all this makes solving the problem of user identification by mathematical methods quite complex and requires high computational costs. Another significant disadvantage is that handwritten authentication systems require the installation of additional specialized equipment, which makes the use of such systems as an ordinary means of authentication very expensive. Nowadays the presence of mobile devices in almost all users has made it possible to form the idea of using them in authentication systems. Thanks to that a scheme for implementing a computer security system against unauthorized access based on handwritten signatures using Android-based mobile devices as signature input devices were proposed. An algorithm based on Heming's distance was chosen to implement user tolerance. According to the selected algorithm, a method for forming a biometric vector has been developed. The optimal characteristics are investigated and the efficiency of using the proposed form biometric characteristics vector is estimated. The speed of movement at certain intervals and the inclination angle of the vector interval were chosen as indicators of the handwritten signature. It is offered to estimate stability in time and dependence of the chosen biometric signs on the following factors: emotional and physical condition of the user, and also time of day at the moment of authentication. Developed a software application for the Android operating system, which collects the time characteristics and values of the proposed factors for time characteristics vectors, as well as allows to export the accumulated data.