Development of a mathematical model of a fault-tolerant invsubbytes converter in a polynomial system of residue classes
https://doi.org/10.37493/2307-910X.2023.2.6
Abstract
The article is devoted to the issue of improving the fault tolerance of the InvSubBytes procedure of SPN converters. Describes the possibility of applying a corrective code in a polynomial system of residue classes as a tool for detecting and eliminating the consequences of failures in the operation of replacement blocks.
About the Authors
I. A. Kalmykov
North-Caucasus Federal University
Russian Federation
Russian Federation
Kalmykov Igor Anatolyevich - Professor, Doctor of Technical Sciences, Professor of the Department of Information Security of Automated Systems of the Institute of Digital Development,
Stavropol
I. A. Provornov
North-Caucasian Federal University
Russian Federation
Russian Federation
Provornov Igor Aleksandrovich - postgraduate student, Institute for Digital Development,
Stavropol
References
1. Promornov I.A. Investigation of the correcting ability of modular codes used in AES systems // Problems of development of promising micro- and nanoelectronic systems (MES). 2022. No. 4. P. 136-141.
2. Chervyakov N.I., Sakhnyuk P.A., Shaposhnikov A.V., Ryadnov S.A. Modular parallel computing structures of neuroprocessor systems. M.: FIZMATLIT, 2003. 288 p.
3. Kalmykov I.A., Gakhov V.R., etc. Application of correcting codes of the polynomial system of deduction classes for the construction of special processors of digital signal processing / Proceedings of the International Forum on Science, Technology and Education. Volume 1./ Edited by: V.P. Savinykh, V.V. Vishnevsky. – M.: Academy of Sciences, 2004. P. 133-135.
4. Device for detecting and correcting errors in the system of residual classes: a. с. 714399 USSR: MKI C C6 F 11/08 / G. G. Smolko, I. Ya. Akushinsky, V. M. Burtsev, L.V. Kaplan (USSR). – No. 2439703/18–24; dec. 01/26/77; publ. 05.02.80, Bull. No. 5.
5. Kalmykov I.A., Mathematical models of neural network fault-tolerant computing tools operating in a polynomial system of deduction classes / Edited by N.I. Chervyakova. – M.: FIZMAT-LIT, 2005. – 276 p.
Review
For citations:
Kalmykov I.A., Provornov I.A. Development of a mathematical model of a fault-tolerant invsubbytes converter in a polynomial system of residue classes. Modern Science and Innovations. 2023;(2):59-70. (In Russ.) https://doi.org/10.37493/2307-910X.2023.2.6
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