Mikhail G. Babenko

发表

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security

Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, 2017, Future Gener. Comput. Syst..

Neural network method for base extension in residue number system

Mikhail G. Babenko, Andrei Tchernykh, Egor Shiriaev, 2020, ICCS-DE.

A High-Speed Division Algorithm for Modular Numbers Based on the Chinese Remainder Theorem with Fractions and Its Hardware Implementation

Mikhail G. Babenko, Maxim Anatolievich Deryabin, N. I. Chervyakov, 2019, Electronics.

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing

Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem

Nikolay I. Chervyakov, Mikhail G. Babenko, Amir Sabbagh Molahosseini, 2017, Int. J. Comput. Math..

An efficient method of error correction in fault-tolerant modular neurocomputers

Nikolay I. Chervyakov, Mikhail G. Babenko, Maxim Anatolievich Deryabin, 2016, Neurocomputing.

Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2018, CARLA.

Reliability Improvement of Information Systems by Residue Number System Code

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, Int. J. Comb. Optim. Probl. Informatics.

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

Uwe Schwiegelshohn, Andrei Tchernykh, El-Ghazali Talbi, 2016, J. Comput. Sci..

A new model to optimize the architecture of a fault-tolerant modular neurocomputer

Nikolay I. Chervyakov, Mikhail G. Babenko, Maxim Anatolievich Deryabin, 2018, Neurocomputing.

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2020, RuSCDays.

Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS

Zhihui Du, Sergio Nesmachnow, Mikhail G. Babenko, 2017, CARLA.

Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage

Arutyun Avetisyan, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, ICSI.

Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, AECIA.

The architecture of a fault-tolerant modular neurocomputer based on modular number projections

Nikolay I. Chervyakov, Mikhail G. Babenko, A. S. Nazarov, 2018, Neurocomputing.

Multi-objective Configuration of a Secured Distributed Cloud Data Storage

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2019, CARLA.

Architecture Development of Cloud-Based Fail-Safe Privacy Data Storage and Processing System

Nikolay N. Kucherov, Mikhail G. Babenko, Anton S. Nazarov, 2020, 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

A Division Algorithm in a Redundant Residue Number System Using Fractions

Mikhail G. Babenko, Maxim Anatolievich Deryabin, Dmitry I. Kaplun, 2020 .

Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2019, 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Comparison of modular numbers based on the chinese remainder theorem with fractional values

Nikolay I. Chervyakov, Mikhail G. Babenko, Amir Sabbagh Molahosseini, 2015, Automatic Control and Computer Sciences.

High Performance Parallel Computing in Residue Number System

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, Int. J. Comb. Optim. Probl. Informatics.

Development of the neural network method for analyzing the literary text from the point of view of genre identification

Mikhail G. Babenko, Olga K. Strashkova, Irina A. Babenko, 2017, 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS).

Research of effective methods of conversion from positional notation to RNS on FPGA

Viktor A. Kuchukov, Mikhail G. Babenko, Nikolai I. Chervyakov, 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

Increasing reliability and fault tolerance of a secure distributed cloud storage

Mikhail G. Babenko, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, 2020, ICCS-DE.

Secure and Reliable Data Transmission Over MANET Based On Principles of Computationally Secure Secret Sharing

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2019 .

WA-RRNS: Reliable Data Storage System Based on Multi-cloud

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage

Andrei Tchernykh, Arutyun Avetisyan, Nikolay I. Chervyakov, 2018, Int. J. Approx. Reason..

Fast modular multiplication execution in residue number system

Viktor A. Kuchukov, Nataliya N. Kuchukova, Mikhail G. Babenko, 2016, 2016 IEEE Conference on Quality Management, Transport and Information Security, Information Technologies (IT&MQ&IS).

The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, AECIA.

Computationally secure threshold secret sharing scheme with minimal redundancy

Nguyen Viet Hung, Mikhail G. Babenko, Andrei Tchernykh, 2020, ICCS-DE.

Determining the rank of a number in the residue number system

Mikhail G. Babenko, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, 2021, ICCS-DE.

Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding

Mikhail G. Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza, 2021, Program. Comput. Softw..

Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography

Mikhail G. Babenko, Andrei Tchernykh, Anvar Djurabaev, 2021, ICCS-DE.

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2021, Peer-to-Peer Networking and Applications.

RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage

Arutyun Avetisyan, Mikhail G. Babenko, Andrei Tchernykh, 2021, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).