Prospects of biometric identification in the context of the digital economy of the Russian Federation

Emets M. I.1
1 Финансовый университет при Правительстве Российской Федерации, Russia

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Journal paper

Creative Economy (РИНЦ, ВАК)
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Volume 13, Number 5 (May 2019)

Citation:

Emets, M. I. (2019). Prospects of biometric identification in the context of the digital economy of the Russian Federation. Creative Economy, 13(5), 927-936. https://doi.org/10.18334/ce.13.5.40634

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=38230355
Cited: 12 by 07.08.2023

Abstract:
The article considers the opportunities offered in connection with the creation of a unified biometric system in the Russian Federation, which has the potential of a platform for remote biometric identification in various sectors of the economy. It is concluded that the success factors of the Indian state biometric system Aadhaar – access to public services and use as an identity card – are irrelevant for Russia, so it is necessary to develop other areas of use of biometrics, except for remote opening of Bank accounts. The review of the provisions of the national program "Digital economy" revealed prospects for the use of EBS infrastructure in many areas, including: the development of a digital profile of the citizen, a digital passport; the creation of a cloud platform for qualified electronic signature; digital services for participants in the electoral process. The review of the world experience in the application of biometric technologies reveals the prospects for the use of biometrics, including such areas as: banking and finance in general, biometric payments; transport infrastructure (fare collection, border control, air transportation, etc.); access control and management systems.

Keywords: biometrics, remote authentication, single biometric system, ESIA, EBS, Aadhaar

JEL-classification: O31, O33, O32

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References:

Jonathan Wilkins (2019). Can biometrics secure manufacturing Biometric Technology Today. (1). 9-11.
Jose Sanchez del Rio, Daniela Moctezuma, Cristina Conde, Isaac Martin de Diego, Enrique Cabello (0). Automated border control e-gates and facial recognition systems Computers & Security. (62). 49-72.
Kim, M., Kim, S., Kim, J. (2019). Can mobile and biometric payments replace cards in the Korean offline payments market? Consumer preference analysis for payment systems using a discrete choice model Telematics and Informatics.
Sandeep Gupta, Attaullah Buriro, Bruno Crispo (2019). DriverAuth: A risk-based multi-modal biometric-based driver authentication scheme for ride-sharing platforms Computers & Security. 122-139.

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