| Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability A Tchernykh, U Schwiegelsohn, E Talbi, M Babenko Journal of Computational Science 36, 100581, 2019 | 231 | 2019 |
| AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security N Chervyakov, M Babenko, A Tchernykh, N Kucherov, V Miranda-López, ... Future Generation Computer Systems 92, 1080-1092, 2019 | 132 | 2019 |
| Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities B Pulido-Gaytan, A Tchernykh, JM Cortés-Mendoza, M Babenko, ... Peer-to-Peer Networking and Applications 14 (3), 1666-1691, 2021 | 90 | 2021 |
| Модулярная арифметика и ее приложения в инфокоммуникационных технологиях НИ Червяков, АА Коляда, ПА Ляхов, МГ Бабенко, ИН Лавриненко, Л АВ М.: ФИЗМАТЛИТ, 2017 | 87 | 2017 |
| Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem NI Chervyakov, AS Molahosseini, PA Lyakhov, MG Babenko, ... International journal of computer mathematics 94 (9), 1833-1849, 2017 | 67 | 2017 |
| AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage A Tchernykh, M Babenko, N Chervyakov, V Miranda-López, V Kuchukov, ... International Journal of Approximate Reasoning 102, 60-73, 2018 | 61 | 2018 |
| Scalable data storage design for nonstationary IoT environment with adaptive security and reliability A Tchernykh, M Babenko, N Chervyakov, V Miranda-López, A Avetisyan, ... IEEE Internet of Things Journal 7 (10), 10171-10188, 2020 | 60 | 2020 |
| An approximate method for comparing modular numbers and its application to the division of numbers in residue number systems NI Chervyakov, MG Babenko, PA Lyakhov, IN Lavrinenko Cybernetics and Systems Analysis 50 (6), 977-984, 2014 | 58 | 2014 |
| Digital filtering of images in a residue number system using finite-field wavelets NI Chervyakov, PA Lyakhov, MG Babenko Automatic Control and Computer Sciences 48, 180-189, 2014 | 58 | 2014 |
| A survey on privacy-preserving machine learning with fully homomorphic encryption LB Pulido-Gaytan, A Tchernykh, JM Cortés-Mendoza, M Babenko, ... Latin American High Performance Computing Conference, 115-129, 2020 | 39 | 2020 |
| Experimental analysis of secret sharing schemes for cloud storage based on rns V Miranda-López, A Tchernykh, JM Cortés-Mendoza, M Babenko, ... Latin American High Performance Computing Conference, 370-383, 2017 | 38 | 2017 |
| Приближенный метод выполнения немодульных операций в системе остаточных классов НИ Червяков, ВМ Авербух, МГ Бабенко, ПА Ляхов, АВ Гладков, ... Фундаментальные исследования, 189-193, 2012 | 37* | 2012 |
| An efficient method of error correction in fault-tolerant modular neurocomputers NI Chervyakov, PA Lyakhov, MG Babenko, AI Garyanina, IN Lavrinenko, ... Neurocomputing 205, 32-44, 2016 | 32 | 2016 |
| Positional characteristics for efficient number comparison over the homomorphic encryption M Babenko, A Tchernykh, N Chervyakov, V Kuchukov, V Miranda-López, ... Programming and Computer Software 45, 532-543, 2019 | 31 | 2019 |
| Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage A Tchernykh, V Miranda-López, M Babenko, F Armenta-Cano, ... Cluster Computing, 1-13, 2019 | 29 | 2019 |
| The architecture of a fault-tolerant modular neurocomputer based on modular number projections NI Chervyakov, PA Lyakhov, MG Babenko, IN Lavrinenko, AV Lavrinenko, ... Neurocomputing 272, 96-107, 2018 | 22 | 2018 |
| Towards mitigating uncertainty of data security breaches and collusion in cloud computing A Tchernykh, M Babenko, N Chervyakov, JM Cortés-Mendoza, ... 2017 28th International Workshop on Database and Expert Systems Applications …, 2017 | 22 | 2017 |
| The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA NI Chervyakov, MG Babenko, NN Kucherov, AI Garianina Advances in Swarm and Computational Intelligence: 6th International …, 2015 | 21 | 2015 |
| RNS number comparator based on a modified diagonal function M Babenko, M Deryabin, SJ Piestrak, P Patronik, N Chervyakov, ... Electronics 9 (11), 1784, 2020 | 19 | 2020 |
| WA-RRNS: Reliable data storage system based on multi-cloud MG Babenko IPDPS 2018 - 32nd IEEE International Parallel and Distributed Processing …, 2018 | 17* | 2018 |
Andrei TchernykhProfessor of Computer Science, CICESE Research Center, MexicoE-mailová adresa ověřena na: cicese.mx
