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Generation of an EDS Key Based on a Graphic Image of a Subject’s Face Using the RC4 Algorithm

Authors :
Alexey Semenkov
Dmitry Bragin
Yakov Usoltsev
Anton Konev
Evgeny Kostuchenko
Source :
Information, Vol 12, Iss 1, p 19 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Modern facial recognition algorithms make it possible to identify system users by their appearance with a high level of accuracy. In such cases, an image of the user’s face is converted to parameters that later are used in a recognition process. On the other hand, the obtained parameters can be used as data for pseudo-random number generators. However, the closeness of the sequence generated by such a generator to a truly random one is questionable. This paper proposes a system which is able to authenticate users by their face, and generate pseudo-random values based on the facial image that will later serve to generate an encryption key. The generator of a random value was tested with the NIST Statistical Test Suite. The subsystem of image recognition was also tested under various conditions of taking the image. The test results of the random value generator show a satisfactory level of randomness, i.e., an average of 0.47 random generation (NIST test), with 95% accuracy of the system as a whole.

Details

Language :
English
ISSN :
20782489
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Information
Publication Type :
Academic Journal
Accession number :
edsdoj.91205c783d6b4e4b965f21c081f6550b
Document Type :
article
Full Text :
https://doi.org/10.3390/info12010019