Selection of handwritten signature dynamic indicators for user authentication

Authors

  • Viktor Yevetskyi Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv,, Ukraine https://orcid.org/0000-0002-5364-8076
  • Ivan Horniichuk Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv,, Ukraine https://orcid.org/0000-0001-6754-4764

DOI:

https://doi.org/10.20535/2411-1031.2020.8.1.217994

Keywords:

biometric user authentication, biometric indicator, dynamic indicator, biometric vector, handwritten signature, biometric authentication system

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.

Author Biographies

Viktor Yevetskyi, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv,

candidate of technical sciences,
associate professor, associate professor
at the cybersecurity and application
of information systems and technologies
academic department

Ivan Horniichuk, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv,

graduate student

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I. Horniichuk, and V. Yevetskiy, “Certificate of registration of copyright for a work “Computer program for user authentication by means of the system of authentication of users by their handwritten signature – MarMurAuth Authentication Module ”, Service of Intellectual Property of Ukraine No. 84552, Jan. 18, 2019.

I. Horniichuk, and V. Yevetskiy, “Certificate of registration of copyright for a work “Computer program for user registration for authentication by means of the system of authentication of users by their handwritten signature – MarMurAuth Registration Module”, Service of Intellectual Property of Ukraine No. 84553, Jan. 18, 2019.

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Published

2020-07-09

How to Cite

Yevetskyi, V., & Horniichuk, I. (2020). Selection of handwritten signature dynamic indicators for user authentication. Collection "Information Technology and Security", 8(1), 19–30. https://doi.org/10.20535/2411-1031.2020.8.1.217994

Issue

Section

INFORMATION SECURITY