Identification in Computer Systems of the Digital Economy

In this paper, we propose a new method of interactive identification: trusted identification of a person using untrusted devices (for example, smartphones, tablets, etc.). It is shown that static, immutable, or almost immutable biometric features can be used in forensic science, but it is inappropri...

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Bibliographic Details
Published in:Journal of communications technology & electronics 2021-12, Vol.66 (Suppl 1), p.S1-S7
Main Authors: Brodskiy, A. V., Gorbachev, V. A., Karpov, O. E., Konyavsky, V. A., Kuznetsov, N. A., Raigorodskii, A. M., Trenin, S. A.
Format: Article
Language:English
Subjects:
Artificial neural networks
Communications Engineering
Computers
Digital computers
Digital economy
Dynamic characteristics
Engineering
Eye movements
Forensic science
Forensic sciences
Networks
Reflexes
Tablet computers
Theory and Methods of Information Processing
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Summary:In this paper, we propose a new method of interactive identification: trusted identification of a person using untrusted devices (for example, smartphones, tablets, etc.). It is shown that static, immutable, or almost immutable biometric features can be used in forensic science, but it is inappropriate for computer systems of the digital economy. As signs, the use of fingerprints, the iris and retina of the eye, the pattern of the vascular bed, and similar ones are ineffective. On the contrary, it is necessary to use dynamic characteristics that are immanently inherent in a person and reflected, for example, in reflexes. As such, eye movements during reading and/or tracking the stimulus, saccades, pulse wave, and others can be used. To make a decision, it is proposed to use artificial neural networks.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226921130027