Identifying a person using dynamic biometric authentication methods
Keywords:
FAR, FRR, dynamic biometric characteristics, identification, biometrics, data protection, keystroke dynamics, information security, databaseAbstract
Abstract. Biometric methods are aimed at identifying a person based on their unique characteristics. The article considers keyboard handwriting as a dynamic biometric characteristic. The features necessary for identification are analyzed and selected. The algorithm for generating a keystroke dynamics pattern is based on recording time parameters. Classical statistical approaches to identifying users based on keystroke dynamics are considered. To solve the identification problem, it is proposed to use a client-server application, its characteristics are given, tests are conducted, and the results are analyzed.
References
Putyato M.M., Makaryan A.S., Chich Sh.M., Markova V.K. Research of the system of identification and confirmation of access legitimacy based on dynamic methods of biometric authentication. Caspian Journal: Control And High Technologies, 2020, 3 (51). 83-91. – Language: Russian.
M.M. Rasulmukhamedov, N.M. Mirzaev, N.Y. Gafforov, “Personal identification model using keyboard handwriting” // “Informatics and energy problems”. Tashkent 2024, 22-27. – Language: Uzbek.
Abdallah Ali A. A. Biometric identification of the person / A. A. Abdallah Ali // Physics and radioelectronics in medicine and ecology: collected works of the 8th International scientific and technical conference with the scientific youth school named after I.N. Spiridonov. - 2008. - Book 2. - P. 145-147. – Language: Russian.
Averin A. I. Authentication of users by keyboard handwriting / A. I. Averin, D. P. Sidorov // Ogarev-online. – 2015. – No. 20 (61). – Language: Russian.
Vasiliev V. I., Kalyamov M. F., Kalyamova L. F. Identification of users by keyboard handwriting using an algorithm for registering frequent bigrams / V. I. Vasiliev, M. F. Kalyamov, L. F. Kalyamova // Modeling, optimization and information technology. 2018. – T. 6, No. 1. – P. 399–407. – Language: Russian.
Brumshtein Yu. M. Analysis of the efficiency of using various software and hardware solutions for studying the dynamics of human signature execution / Yu. M. Brumshtein, D. V. Kharitonov, M. V. Ivanova // Physics and radio electronics in medicine and ecology: collection of works of the XI International scientific and technical conference with the scientific youth school named after I. N. Spiridonov. - 2014. - Book 2. - P. 56-60. – Language: Russian.
Gorelik A. L. Methods of recognition /A. L. Gorelik, V. A. Skripkin. - Moscow: Higher School, 1984. - 80 p.
Odinets D. N. Methods of constructing personal identification systems based on biometric parameters / D. N. Odinets // Electronic Commonwealth. High-Tech Park. Secure Telematic Applications: Reports of the V International Congress. Minsk, November 10–11, 2005 / edited by M. M. Makhanka, V. E. Kratenok. – Minsk: State Institution “BelISA”, 2005. – P. 152.
Putyato M. M. Classification of messengers based on the analysis of the security level of stored data / M. M. Putyato, A. S. Makaryan // Caspian journal: management and high technologies. - 2019. - P. 135-143. – Language: Russian.
Savinov A. N. Solving the problems of errors of the first and second kind in keyboard handwriting recognition systems / A. N. Savinov, I. G. Sidorkina // 81 - ICT: education, science, innovation: proceedings of the III International. scientific-practical conf. – Almaty: IITU, 2012. – Language. Russian.
Sidorkina I. G. Three algorithms for controlling access to CSII based on recognition of the operator’s keyboard handwriting / I. G. Sidorkina, A. N. Savinov // Bulletin of the Chuvash University. – 2013. – No. 3. Language. Russian.
Skuratov S. V. Using keyboard handwriting for authentication in computer information systems / S. V. Skuratov // Information technology security. – 2010. – Language: Russian.
Trotsky D. P. Biometric signature recognition system / D. P. Trotsky, K. V. Chirkov, L. T. Sushkova // Physics and radio electronics in medicine and ecology: collection of works of the 8th International scientific and technical conference with the scientific youth school named after I. N. Spiridonov. - 2008. - Book 2. - P. 162-165. - Language: Russian.
Khodashinsky I. A. Technology of enhanced authentication of users of information processes / I. A. Khodashinsky, M. V. Savchuk, I. V. Gorbunov, R. V. Meshcheryakov // Management, computing technology and informatics. - 2011. - P. 236-248. – Language:Russian.
Biometric identification and authentication. – Access mode: http://www.techportal.ru/glossary/ /biometricheskaya identifikaciya.html, free. – Title from the screen. – Language: Russian.
What is the secure access strategy for banking products. – Access mode: http://www.smartsecurity.tech/wp-content/uploads/2017/03/Smart-Security.pdf, free. – Title from the screen. – Language: Russian.
Methods of biometric identification: comparative analysis. – Access mode: http://www.biometrics.ru/ /news/metodi_biometricheskoi_identifikacii sravnitelnii_analiz/, free. – Title from the screen. – Language: Russian.
El-Hadidi Kamal M. Biometrics. What and How. – Access mode: http://www.netsecurity.org/dl/articles/ /Biometrics.pdf, free. – Title from the screen. – Language: English.
Modern methods of biometric identification. – Access mode: https://www.azoneit.ru/sovremennye-metody-biometricheskoy-identifikacii, free. – Title from the screen. – Language: Russian.
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