Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Elena Golimblevskaia"'
Autor:
Mikhail Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii Valuev, Arutyun Avetisyan, Lana A. Gagloeva
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 2, p 84 (2023)
Homomorphic encryption (HE) is a promising solution for handling sensitive data in semi-trusted third-party computing environments, as it enables processing of encrypted data. However, applying sophisticated techniques such as machine learning, stati
Externí odkaz:
https://doaj.org/article/7e4539b70412475087d12613715de42e
Publikováno v:
Proceedings of the Institute for System Programming of the RAS. 32:37-51
The widespread use of cloud technology allows optimizing the economic costs of maintaining the IT infrastructure of enterprises, but this increases the likelihood of theft of confidential data. One of the mechanisms to protect data from theft is cryp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::820025ca8655b45d91c437bdf159b75c
https://doi.org/10.15514/ispras-2020-32(2)-4
https://doi.org/10.15514/ispras-2020-32(2)-4
Autor:
Kucherov, N., Kuchukov, V., Elena Golimblevskaia, Kuchukova, N., Vashchenko, I., Kuchukova, E.
Publikováno v:
Scopus-Elsevier
The article develops an efficient implementation of an algorithm for detecting and correcting multivalued residual errors with a fixed number of calculations of the syndrome, regardless of the set of moduli size. Criteria for uniqueness are given tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bcc3f6a9dd196f1735baca7cdea1b2e
https://doi.org/10.47350/iccs-de.2021.09
https://doi.org/10.47350/iccs-de.2021.09
Autor:
Elena Golimblevskaia, Egor Shiryaev, Bernardo Pulido-Gaytan, Mikhail Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Sergio Nesmachnow
Publikováno v:
IPDPS Workshops
Ensuring reliable data storage in a cloud environment is a challenging problem. One of the efficient mechanisms used to solve it is the Redundant Residue Number System (RRNS) with the projection method, a commonly used mechanism for detecting errors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1ed71c345a6281f51fc69241112df9a
https://doi.org/10.1109/ipdpsw52791.2021.00087
https://doi.org/10.1109/ipdpsw52791.2021.00087
Autor:
Nikolay Nikolaevich Kucherov, Alexander O. Malofey, Oleg P. Malofey, Sergey Rassomahin, Elena Golimblevskaia
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The definition of quasi-Gaussian signals as one class of semicontinuous processes is given. On the basis of a nonlinear optimization problem and the method of variation calculus, the transient response of a nonlinear filter-discriminator is determine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::960d1e9ba7973dbfad39dbe738604c47
https://doi.org/10.1109/elconrus51938.2021.9396156
https://doi.org/10.1109/elconrus51938.2021.9396156
Autor:
Elena Golimblevskaia, Mikhail Babenko
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The use of cloud computing can reduce the economic costs of maintaining IT infrastructure, but at the same time, the likelihood of confidential data theft increases. To reduce the likelihood of it, cloud computing uses homomorphic encryption. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0d13e6feea8dd861fbdc2fe1139453
https://doi.org/10.1109/elconrus51938.2021.9396347
https://doi.org/10.1109/elconrus51938.2021.9396347
Autor:
Mikhail Babenko, Elena Golimblevskaia
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
an approximate value of the number rank is used to increase the speed of homomorphic encryption algorithms. The use of an approximate rank of a number allows reducing the computational complexity of the data encryption algorithm, but at the same time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c5867d98de30f9a2c53081cb7b8336
https://doi.org/10.1109/elconrus51938.2021.9396072
https://doi.org/10.1109/elconrus51938.2021.9396072
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030711184
Homomorphic Encryption (HE) is a perspective form of encryption that allows computing on encrypted data. Potential applications include combining sensitive encrypted data in a cloud environment and performing calculations on it in the cloud without c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dcdec64ac6f0587cea132976cc07aed
https://doi.org/10.1007/978-3-030-71119-1_59
https://doi.org/10.1007/978-3-030-71119-1_59
Autor:
Egor Shiryaev, Mikhail Babenko, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza, Bernardo Pulido-Gaytan, Elena Golimblevskaia, Andrei Tchernykh
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030856717
OLA
OLA
Data encryption has become a vital mechanism for data protection. One of the main challenges and an important target for optimization is the encryption/decryption speed. In this paper, we propose techniques for speeding up the software performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b476f0851b9cf9d992fde643f450866c
https://doi.org/10.1007/978-3-030-85672-4_18
https://doi.org/10.1007/978-3-030-85672-4_18
Autor:
Jorge M. Cortés-Mendoza, Bernardo Pulido-Gaytan, Elena Golimblevskaia, Andrei Tchernykh, Mikhail Babenko, Arutyun Avetisyan
Publikováno v:
2020 Ivannikov Ispras Open Conference (ISPRAS).
The use of cloud technologies for processing confidential data requires a solution to the data security problem. One of the mechanisms to solve it is homomorphic encryption. However, homomorphic encryption only allows the arithmetic operations of add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45567a691947f1b5f236765362ef5ffd
https://doi.org/10.1109/ispras51486.2020.00017
https://doi.org/10.1109/ispras51486.2020.00017