Abstract
Selection and evaluation of handwritten signature indicators in user authentication systems are considered. An important and unresolved issue of information security is the effective identification of the user who accesses confidential information. Traditional password protection has a number of disadvantages. As an alternative to the password system or its addition, user identification by biometric characteristics is considered. An identifier that uses biometric characteristics is inextricably linked to the user and it is almost impossible to use it without authorization. The decision about the truth of the user of biometric authentication systems is made on the basis of comparison of his template with the data entered when trying to authenticate. The template is formed on the basis of studying the selected individual characteristics of the user. To do this, we use the biometric characteristics of users, which reflect the dynamic, behavioral characteristics of the person. It is proposed to use a handwritten signature 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. To solve this problem, a scheme for implementing a computer data protection system against unauthorized access based on handwritten signatures using mobile devices based on the Android operating system as signature input devices is proposed. A method of biometric vector generation for use in dynamic biometric user authentication systems is proposed. The optimal characteristics are investigated and the efficiency of using the proposed form biometric characteristics vector is estimated. Certificates of copyrights registration for software applications developed during the work were received.
Highlights
Selection and evaluation of handwritten signature indicators in user authentication systems are considered
Summarizing the obtained results, it is worth noting that authentication using users biometric characteristics is an effective way to protect information
One of the best methods must be considered systems based on handwritten signature recognition
Summary
Selection and evaluation of handwritten signature indicators in user authentication systems are considered. Its essence is to determine the influence of the biometric vector length on the number of errors of the first and second kind [18] For this purpose, a software application was created, which based on 10 signature entries created biometric standards for vectors of different lengths, in particular, for the division into 15, 20, 25, 30, 35, 40, and 45 intervals. At the subsequent input of the signature on its basis, 7 vectors of the specified lengths are formed, and based on Hamming’s distance the decision on the truth of the user is made It was attended by two people who first taught the system their signature, and entered it 100 times. It is proved experimentally that the optimal length value of the vector is 40 biometric parameters
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