Mikhail G. Babenko

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 46

Top Topics

Chinese Remainder Theorem

Homomorphic Encryption

Top Venues

Program. Comput. Softw.

IPDPS Workshops

Publications

Egor Shiriaev, Tatiana Ermakova, Ekaterina Bezuglova, Maria Lapina, Mikhail G. Babenko
Reliablity and Security for Fog Computing Systems. Inf. 15 (6) (2024)
Egor M. Shiriaev, Anton S. Nazarov, Nikolay Nikolaevich Kucherov, Mikhail G. Babenko
Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing. Program. Comput. Softw. 50 (4) (2024)
Georgii V. Valuev, Maria V. Valueva, Mikhail G. Babenko, Andrei Tchernykh
Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access 11 (2023)
Egor Shiriaev, Nikolay Nikolaevich Kucherov, Mikhail G. Babenko, Anton Nazarov
Fast Operation of Determining the Sign of a Number in RNS Using the Akushsky Core Function. Comput. 11 (7) (2023)
Andrei Gladkov, Egor Shiriaev, Andrei Tchernykh, Maxim Deryabin, Mikhail G. Babenko, Sergio Nesmachnow
DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors 23 (7) (2023)
Mikhail G. Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii V. Valuev, Arutyun Avetisyan, Lana A. Gagloeva
A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data Cogn. Comput. 7 (2) (2023)
Andrei Tchernykh, Mikhail G. Babenko, Egor Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, Viktor Andreevich Kuchukov
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Comput. 10 (2) (2022)
Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov
Improved Modular Division Implementation with the Akushsky Core Function. Comput. 10 (1) (2022)
A. Gladkov, Viktor Andreevich Kuchukov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Berezhnoy, Alexander Yu. Drozdov
Modified Error Detection and Localization in the Residue Number System. Program. Comput. Softw. 48 (8) (2022)
Andrei Gladkov, Egor Shiriaev, Andrei Tchernykh, Maxim Deryabin, Ekaterina Bezuglova, Georgii V. Valuev, Mikhail G. Babenko
SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems. ICSC-Cities (2022)
Maria V. Valueva, Georgii V. Valuev, Mikhail G. Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza
Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Program. Comput. Softw. 48 (8) (2022)
Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Nikolay Nikolaevich Kucherov, Nataliya Nikolaevna Kuchukova, Alexander Yu. Drozdov
Optimization of Artificial Neural Networks using Wavelet Transforms. Program. Comput. Softw. 48 (6) (2022)
Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Andrei Tchernykh, Viktor Andreevich Kuchukov, Elena Golimblevskaia, Ekaterina Kuchukova, Irina Vashchenko
Determining the rank of a number in the residue number system. ICCS-DE (2021)
Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Netw. Appl. 14 (3) (2021)
Andrei Tchernykh, Mikhail G. Babenko, Bernardo Pulido-Gaytan, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza
Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. OLA (2021)
Mikhail G. Babenko, Andrei Tchernykh, Aziz Redvanov, Anvar Djurabaev
Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography. ICCS-DE (2021)
Mikhail G. Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Sergio Nesmachnow
RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. IPDPS Workshops (2021)
Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova
Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. Program. Comput. Softw. 47 (8) (2021)
Mikhail G. Babenko, Anton Nazarov, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Irina Vashchenko
Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. Program. Comput. Softw. 47 (8) (2021)
Jorge M. Cortés-Mendoza, Gleb I. Radchenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Mikhail G. Babenko, Arutyun Avetisyan, Pascal Bouvry, Albert Y. Zomaya
LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. CCGRID (2021)
Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko
A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. CARLA (2020)
Mikhail G. Babenko, Egor Shiriaev, Andrei Tchernykh, Elena Golimblevskaia
Neural network method for base extension in residue number system. ICCS-DE (2020)
Andrei Tchernykh, Mikhail G. Babenko, Nikolay I. Chervyakov, Vanessa Miranda-López, Arutyun Avetisyan, Alexander Yu. Drozdov, Raúl Rivera-Rodríguez, Gleb I. Radchenko, Zhihui Du
Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet Things J. 7 (10) (2020)
Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail G. Babenko, Luis Bernardo Pulido-Gaytan, Gleb I. Radchenko, Franck Leprévost, Xinheng Wang, Arutyun Avetisyan
Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. RuSCDays (2020)
Nikolay Nikolaevich Kucherov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Irina Vashchenko
Increasing reliability and fault tolerance of a secure distributed cloud storage. ICCS-DE (2020)
Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Arutyun Avetisyan, Victor V. Toporkov, Alexander Yu. Drozdov
2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access 8 (2020)
Mikhail G. Babenko, Andrei Tchernykh, Elena Golimblevskaia, Nguyen Viet Hung, Vijay Chaurasiya
Computationally secure threshold secret sharing scheme with minimal redundancy. ICCS-DE (2020)
Luis Enrique García-Hernández, Andrei Tchernykh, Vanessa Miranda-López, Mikhail G. Babenko, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko, Carlos Jaime Barrios Hernández, Harold Castro, Alexander Yu. Drozdov
Multi-objective Configuration of a Secured Distributed Cloud Data Storage. CARLA (2019)
Andrei Tchernykh, Uwe Schwiegelshohn, El-Ghazali Talbi, Mikhail G. Babenko
Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. J. Comput. Sci. 36 (2019)
Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Maxim Anatolievich Deryabin, Elena Golimblevskaia, Egor Shiryaev, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko, El-Ghazali Talbi
Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS (2019)
Andrei Tchernykh, Vanessa Miranda-López, Mikhail G. Babenko, Fermin-Alberto Armenta-Cano, Gleb I. Radchenko, Alexander Yu. Drozdov, Arutyun Avetisyan
Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Clust. Comput. 22 (4) (2019)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton Nazarov, Mikhail G. Babenko
Comparative Performance Analysis of Information Dispersal Methods. FRUCT (2019)
Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko
Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. IPDPS Workshops (2019)
Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza
AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Gener. Comput. Syst. 92 (2019)
Mikhail G. Babenko, Andrei Tchernykh, Nikolay I. Chervyakov, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Raúl Rivera-Rodríguez, Zhihui Du, El-Ghazali Talbi
Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. Program. Comput. Softw. 45 (8) (2019)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, A. S. Nazarov
A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing 303 (2018)
Andrei Tchernykh, Mikhail G. Babenko, Vanessa Miranda-López, Alexander Yu. Drozdov, Arutyun Avetisyan
WA-RRNS: Reliable Data Storage System Based on Multi-cloud. IPDPS Workshops (2018)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Arutyun Avetisyan
Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. HPCS (2018)
Anton Nazarov, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko
Reliability Improvement of Information Systems by Residue Number System Code. Int. J. Comb. Optim. Probl. Informatics 9 (1) (2018)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, A. S. Nazarov
The architecture of a fault-tolerant modular neurocomputer based on modular number projections. Neurocomputing 272 (2018)
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
AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. Int. J. Approx. Reason. 102 (2018)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Maria Nikolaevna Shabalina
High Performance Parallel Computing in Residue Number System. Int. J. Comb. Optim. Probl. Informatics 9 (1) (2018)
Esteban C. Lopez-Falcon, Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Arutyun Avetisyan
Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud. CARLA (2018)
Vanessa Miranda-López, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Sergio Nesmachnow, Zhihui Du
Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. CARLA (2017)
Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel A. Lyakhov, Mikhail G. Babenko, Maxim Anatolievich Deryabin
Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. Int. J. Comput. Math. 94 (9) (2017)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, A. I. Garyanina, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin
An efficient method of error correction in fault-tolerant modular neurocomputers. Neurocomputing 205 (2016)
Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko
Comparison of modular numbers based on the chinese remainder theorem with fractional values. Autom. Control. Comput. Sci. 49 (6) (2015)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko
Digital filtering of images in a residue number system using finite-field wavelets. Autom. Control. Comput. Sci. 48 (3) (2014)