Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Nikolay Nikolaevich Kucherov; Viktor Andreevich Kuchukov; Maria Nikolaevna Shabalina (AECIA, 2015)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Viktor Andreevich Kuchukov; Jorge M. Cortés-Mendoza; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Gleb I. Radchenko; Arutyun Avetisyan (Int. J. Approx. Reason., 2018)

Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. - Vanessa Miranda-López; Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Maxim Anatolievich Deryabin; Elena Golimblevskaia; Egor M. Shiryaev; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko; El-Ghazali Talbi (HPCS, 2019)

Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. - Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko (IPDPS Workshops, 2019)

Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. - Mikhail G. Babenko; Andrei Tchernykh; Nikolay I. Chervyakov; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Raúl Rivera-Rodríguez; Zhihui Du; El-Ghazali Talbi (Program. Comput. Softw., 2019)

Increasing reliability and fault tolerance of a secure distributed cloud storage. - Nikolay Nikolaevich Kucherov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov; Irina Vashchenko (ICCS-DE, 2020)

Search for the Global Extremum Using the Correlation Indicator for Neural Networks Supervised Learning. - Nikolay A. Vershkov; Maxim A. Babenko; Viktor Andreevich Kuchukov; Nataliya Nikolaevna Kuchukova (Program. Comput. Softw., 2020)

Determining the rank of a number in the residue number system. - Mikhail G. Babenko; Nikolay Nikolaevich Kucherov; Andrei Tchernykh; Viktor Andreevich Kuchukov; Elena Golimblevskaia; Ekaterina Kuchukova; Irina Vashchenko (ICCS-DE, 2021)

Efficient implementation of error correction codes in modular code. - Nikolay Nikolaevich Kucherov; Viktor Andreevich Kuchukov; Elena Golimblevskaia; Nataliya Nikolaevna Kuchukova; Irina Vashchenko; Ekaterina Kuchukova (ICCS-DE, 2021)

Optimization of computational complexity of an artificial neural network. - Nikolay A. Vershkov; Viktor Andreevich Kuchukov; Natalia Nikolaevna Kuchukova; Nikolay Nikolaevich Kucherov; Egor M. Shiriaev (ICCS-DE, 2021)

Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. - Nikolay A. Vershkov; Mikhail G. Babenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Viktor Andreevich Kuchukov; Nataliya Nikolaevna Kuchukova (Program. Comput. Softw., 2021)

Improved Modular Division Implementation with the Akushsky Core Function. - Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov (Comput., 2022)

An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. - Andrei Tchernykh; Mikhail G. Babenko; Egor M. Shiriaev; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Arutyun Avetisyan; Alexander Yu. Drozdov; Viktor Andreevich Kuchukov (Comput., 2022)

Modified Error Detection and Localization in the Residue Number System. - Andrei Gladkov; Viktor Andreevich Kuchukov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Berezhnoy; Alexander Yu. Drozdov (Program. Comput. Softw., 2022)

Optimization of Artificial Neural Networks using Wavelet Transforms. - Nikolay A. Vershkov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov; Nikolay Nikolaevich Kucherov; Nataliya Nikolaevna Kuchukova; Alexander Yu. Drozdov (Program. Comput. Softw., 2022)