Mikhail G. Babenko

58 papers B 1C 1Misc 1Journal 36Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attention-Driven Deep Learning for News-Based Prediction of Disease Outbreaks. Big Data Cogn. Comput. Avneet Singh Gautam, Zahid Raza, Maria Lapina, Mikhail G. Babenko
2025	J	`jnl`	DNS Tunneling Detection Using Methods of Machine Learning. Program. Comput. Softw. Maria Lapina, K. Gediev, Mikhail G. Babenko, Andrei Tchernykh, Alexander Yu. Drozdov
2025	—	`conf`	Efficient Privacy-Preserving Convolutional Neural Networks with CKKS-RNS for Encrypted Image Classification. IPDPS (Workshops) Andrei Tchernykh, Marianne Salgado-Ramos, Bernardo Pulido-Gaytan, Horacio González-Vélez, Esteban E. Mocskos, Mikhail G. Babenko
2025	C	`conf`	Generative Fabrication of Medical Images for Machine Learning Training. SBAC-PAD Andres G. Calzada-Jasso, Andrei Tchernykh, Ixchel D. Avendaño-Pacheco, Jorge M. Cortés-Mendoza, Bernardo Pulido-Gaytan, Mikhail G. Babenko, Alfredo Goldman, Horacio González-Vélez
2025	J	`jnl`	New Statistically Secure Pseudorandom Sequence Generation Methods. Program. Comput. Softw. M. Arkhipov, Andrey N. Tchernykh, Mikhail G. Babenko, Maria Lapina, Reyes Juárez-Ramírez
2025	J	`jnl`	Optimization of Machine Learning Algorithms with Distillation and Quantization for Early Detection of Attacks in Resource-Constrained Systems. Big Data Cogn. Comput. Mikhail Rusanov, Mikhail G. Babenko, Maria Lapina
2025	J	`jnl`	Performance Analysis of Quantum Computing Frameworks for Cryptographic Applications. Program. Comput. Softw. Mikhail G. Babenko, A. Koronskiy, Andrey N. Tchernykh, Maria Lapina, Maksud Khamidov
2024	J	`jnl`	Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing. Program. Comput. Softw. Egor M. Shiriaev, Anton S. Nazarov, Nikolay Nikolaevich Kucherov, Mikhail G. Babenko
2024	—	`conf`	Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions. CCGridW Bernardo Pulido-Gaytan, Andrei Tchernykh, Mikhail G. Babenko, Jorge M. Cortés-Mendoza, Horacio González-Vélez, Arutyun Avetisyan
2024	J	`jnl`	High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks. Program. Comput. Softw. Maria A. Lapina, Egor M. Shiriaev, Mikhail G. Babenko, Ismoilzoda Istamov
2024	J	`jnl`	Identification of Exploited Unreliable Account Passwords in the Information Infrastructure Using Machine Learning Methods. Big Data Cogn. Comput. Mikhail Rusanov, Mikhail G. Babenko, Maria Lapina, Mohammad Sajid
2024	J	`jnl`	Reliablity and Security for Fog Computing Systems. Inf. Egor M. Shiriaev, Tatiana Ermakova, Ekaterina Bezuglova, Maria A. Lapina, Mikhail G. Babenko
2023	J	`jnl`	A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data Cogn. Comput. Mikhail G. Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor M. Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii V. Valuev, Arutyun Avetisyan, Lana A. Gagloeva
2023	J	`jnl`	DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors Andrei Gladkov, Egor M. Shiriaev, Andrei Tchernykh, Maxim Deryabin, Mikhail G. Babenko, Sergio Nesmachnow
2023	J	`jnl`	Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access Georgii V. Valuev, Maria V. Valueva, Mikhail G. Babenko, Andrei Tchernykh
2023	J	`jnl`	Fast Operation of Determining the Sign of a Number in RNS Using the Akushsky Core Function. Comput. Egor M. Shiriaev, Nikolay Nikolaevich Kucherov, Mikhail G. Babenko, Anton S. Nazarov
2022	J	`jnl`	An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Comput. Andrei Tchernykh, Mikhail G. Babenko, Egor M. Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, Viktor Andreevich Kuchukov
2022	J	`jnl`	Improved Modular Division Implementation with the Akushsky Core Function. Comput. Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov
2022	J	`jnl`	Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Program. Comput. Softw. Maria V. Valueva, Georgii V. Valuev, Mikhail G. Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza
2022	J	`jnl`	Modified Error Detection and Localization in the Residue Number System. Program. Comput. Softw. Andrei Gladkov, Viktor Andreevich Kuchukov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Berezhnoy, Alexander Yu. Drozdov
2022	J	`jnl`	Optimization of Artificial Neural Networks using Wavelet Transforms. Program. Comput. Softw. Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Nikolay Nikolaevich Kucherov, Nataliya Nikolaevna Kuchukova, Alexander Yu. Drozdov
2022	—	`conf`	SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems. ICSC-Cities Andrei Gladkov, Egor M. Shiriaev, Andrei Tchernykh, Maxim Deryabin, Ekaterina Bezuglova, Georgii V. Valuev, Mikhail G. Babenko
2021	J	`jnl`	Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. Program. Comput. Softw. Mikhail G. Babenko, Anton S. Nazarov, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Irina Vashchenko
2021	—	`conf`	Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography. ICCS-DE Mikhail G. Babenko, Andrei Tchernykh, Aziz Redvanov, Anvar Djurabaev
2021	—	`conf`	Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. OLA Andrei Tchernykh, Mikhail G. Babenko, Bernardo Pulido-Gaytan, Egor M. Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza
2021	—	`conf`	Determining the rank of a number in the residue number system. ICCS-DE Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Andrei Tchernykh, Viktor Andreevich Kuchukov, Elena Golimblevskaia, Ekaterina Kuchukova, Irina Vashchenko
2021	B	`conf`	LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. CCGRID Jorge M. Cortés-Mendoza, Gleb I. Radchenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Mikhail G. Babenko, Arutyun Avetisyan, Pascal Bouvry, Albert Y. Zomaya
2021	J	`jnl`	Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. Program. Comput. Softw. Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova
2021	J	`jnl`	Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Netw. Appl. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov
2021	—	`conf`	RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. IPDPS Workshops Mikhail G. Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Egor M. Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Sergio Nesmachnow
2020	J	`jnl`	2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Arutyun Avetisyan, Victor V. Toporkov, Alexander Yu. Drozdov
2020	—	`conf`	A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. CARLA Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko
2020	—	`conf`	Computationally secure threshold secret sharing scheme with minimal redundancy. ICCS-DE Mikhail G. Babenko, Andrei Tchernykh, Elena Golimblevskaia, Nguyen Viet Hung, Vijay Chaurasiya
2020	—	`conf`	Increasing reliability and fault tolerance of a secure distributed cloud storage. ICCS-DE Nikolay Nikolaevich Kucherov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Irina Vashchenko
2020	—	`conf`	Neural network method for base extension in residue number system. ICCS-DE Mikhail G. Babenko, Egor M. Shiriaev, Andrei Tchernykh, Elena Golimblevskaia
2020	—	`conf`	Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. RuSCDays Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail G. Babenko, Luis Bernardo Pulido-Gaytan, Gleb I. Radchenko, Franck Leprévost, Xinheng Wang, Arutyun Avetisyan
2020	J	`jnl`	Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet Things J. Andrei Tchernykh, Mikhail G. Babenko, Nikolay I. Chervyakov, Vanessa Miranda-López, Arutyun Avetisyan, Alexander Yu. Drozdov, Raúl Rivera-Rodríguez, Gleb I. Radchenko, Zhihui Du
2019	J	`jnl`	AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Gener. Comput. Syst. Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza
2019	Misc	`conf`	Comparative Performance Analysis of Information Dispersal Methods. FRUCT Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton S. Nazarov, Mikhail G. Babenko
2019	—	`conf`	Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. IPDPS Workshops Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko
2019	—	`conf`	Multi-objective Configuration of a Secured Distributed Cloud Data Storage. CARLA 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
2019	J	`jnl`	Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Clust. Comput. Andrei Tchernykh, Vanessa Miranda-López, Mikhail G. Babenko, Fermin-Alberto Armenta-Cano, Gleb I. Radchenko, Alexander Yu. Drozdov, Arutyun Avetisyan
2019	J	`jnl`	Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. Program. Comput. Softw. Mikhail G. Babenko, Andrei Tchernykh, Nikolay I. Chervyakov, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Raúl Rivera-Rodríguez, Zhihui Du, El-Ghazali Talbi
2019	J	`jnl`	Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. J. Comput. Sci. Andrei Tchernykh, Uwe Schwiegelshohn, El-Ghazali Talbi, Mikhail G. Babenko
2019	—	`conf`	Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS 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
2018	J	`jnl`	A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, Anton S. Nazarov
2018	J	`jnl`	AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. Int. J. Approx. Reason. 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
2018	—	`conf`	Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud. CARLA Esteban C. Lopez-Falcon, Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Arutyun Avetisyan
2018	J	`jnl`	High Performance Parallel Computing in Residue Number System. Int. J. Comb. Optim. Probl. Informatics Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Maria Nikolaevna Shabalina
2018	J	`jnl`	Reliability Improvement of Information Systems by Residue Number System Code. Int. J. Comb. Optim. Probl. Informatics Anton S. Nazarov, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko
2018	—	`conf`	Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. HPCS Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Arutyun Avetisyan
2018	J	`jnl`	The architecture of a fault-tolerant modular neurocomputer based on modular number projections. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Anton S. Nazarov
2018	—	`conf`	WA-RRNS: Reliable Data Storage System Based on Multi-cloud. IPDPS Workshops Andrei Tchernykh, Mikhail G. Babenko, Vanessa Miranda-López, Alexander Yu. Drozdov, Arutyun Avetisyan
2017	—	`conf`	Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. CARLA Vanessa Miranda-López, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Sergio Nesmachnow, Zhihui Du
2017	J	`jnl`	Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. Int. J. Comput. Math. Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Maxim Anatolievich Deryabin
2016	J	`jnl`	An efficient method of error correction in fault-tolerant modular neurocomputers. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, A. I. Garyanina, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin
2015	J	`jnl`	Comparison of modular numbers based on the chinese remainder theorem with fractional values. Autom. Control. Comput. Sci. Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko
2014	J	`jnl`	Digital filtering of images in a residue number system using finite-field wavelets. Autom. Control. Comput. Sci. Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko