Mikhail G. Babenko

Orcid: 0000-0001-7066-0061

According to our database1, Mikhail G. Babenko authored at least 51 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fast Operation of Determining the Sign of a Number in RNS Using the Akushsky Core Function.
Comput., June, 2023

DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems.
Sensors, April, 2023

A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption.
Big Data Cogn. Comput., 2023

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System.
IEEE Access, 2023

2022
Optimization of Artificial Neural Networks using Wavelet Transforms.
Program. Comput. Softw., 2022

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System.
Program. Comput. Softw., 2022

Modified Error Detection and Localization in the Residue Number System.
Program. Comput. Softw., 2022

An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges.
Comput., 2022

Improved Modular Division Implementation with the Akushsky Core Function.
Comput., 2022

SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems.
Proceedings of the Smart Cities - 5th Ibero-American Congress, 2022

2021
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities.
Peer-to-Peer Netw. Appl., 2021

Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation.
Program. Comput. Softw., 2021

Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding.
Program. Comput. Softw., 2021

Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network.
Proceedings of the Optimization and Learning - 4th International Conference, 2021

RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography.
Proceedings of the 3rd International Workshop on Information, 2021

Determining the rank of a number in the residue number system.
Proceedings of the 3rd International Workshop on Information, 2021

LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability.
IEEE Internet Things J., 2020

2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage.
IEEE Access, 2020

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System.
Proceedings of the Supercomputing, 2020

Increasing reliability and fault tolerance of a secure distributed cloud storage.
Proceedings of the 2nd International Workshop on Information, 2020

Computationally secure threshold secret sharing scheme with minimal redundancy.
Proceedings of the 2nd International Workshop on Information, 2020

Neural network method for base extension in residue number system.
Proceedings of the 2nd International Workshop on Information, 2020

A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption.
Proceedings of the High Performance Computing - 7th Latin American Conference, 2020

2019
Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption.
Program. Comput. Softw., 2019

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability.
J. Comput. Sci., 2019

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security.
Future Gener. Comput. Syst., 2019

Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage.
Clust. Comput., 2019

Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Comparative Performance Analysis of Information Dispersal Methods.
Proceedings of the 24th Conference of Open Innovations Association, 2019

Multi-objective Configuration of a Secured Distributed Cloud Data Storage.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

2018
The architecture of a fault-tolerant modular neurocomputer based on modular number projections.
Neurocomputing, 2018

A new model to optimize the architecture of a fault-tolerant modular neurocomputer.
Neurocomputing, 2018

Reliability Improvement of Information Systems by Residue Number System Code.
Int. J. Comb. Optim. Probl. Informatics, 2018

High Performance Parallel Computing in Residue Number System.
Int. J. Comb. Optim. Probl. Informatics, 2018

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage.
Int. J. Approx. Reason., 2018

WA-RRNS: Reliable Data Storage System Based on Multi-cloud.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud.
Proceedings of the High Performance Computing - 5th Latin American Conference, 2018

2017
Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem.
Int. J. Comput. Math., 2017

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS.
Proceedings of the High Performance Computing - 4th Latin American Conference, 2017

2016
An efficient method of error correction in fault-tolerant modular neurocomputers.
Neurocomputing, 2016

2015
Comparison of modular numbers based on the chinese remainder theorem with fractional values.
Autom. Control. Comput. Sci., 2015

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network.
Proceedings of the Second International Afro-European Conference for Industrial Advancement, 2015

The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks.
Proceedings of the Second International Afro-European Conference for Industrial Advancement, 2015

2014
Digital filtering of images in a residue number system using finite-field wavelets.
Autom. Control. Comput. Sci., 2014


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