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pro vyhledávání: '"Veronica Kravchenko"'
Development of an Adaptive Fuzzy Algorithm for Identifying Technical Channels of Information Leakage
Autor:
Nikita G. Lyashenko, Dennis A. Korochentsev, Alexander A. Zelensky, Olga Safaryan, Pavel Razumov, Veronica Kravchenko, Irina A. Pilipenko, Vitaly M. Porksheyan, Nikolay Boldyrikhin, Larissa V. Cherckesova
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811617805
ICICT (3)
ICICT (3)
This article is devoted to the problem of identifying technical channels of information leakage using a decision support subsystem and a neural network. Research is aimed at identifying technical channels of information leakage. The article describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14eaa8d3660ac1b87dff2045b7608b93
https://doi.org/10.1007/978-981-16-1781-2_28
https://doi.org/10.1007/978-981-16-1781-2_28
Autor:
Veronica Kravchenko, Olga Safaryan, Pavel Razumov, Dmitry Medvedev, Larissa V. Cherckesova, Yuriy I. Ivanov
Publikováno v:
E3S Web of Conferences, Vol 224, p 01043 (2020)
This report is devoted to the comparative analysis of the lightweight NASH block encryption algorithm and the algorithm presented by USA National Security Agency in 2013 – SPECK. Their detailed description is given, the analysis is made. The task o
Autor:
Alexey Popov, Sergey A. Morozov, Larissa V. Cherckesova, Olga Safaryan, Pavel Razumov, Veronica Kravchenko
Publikováno v:
E3S Web of Conferences, Vol 224, p 01037 (2020)
Cryptography is inextricably linked to the transfer of data, and in addition to ensuring user authorization; it is designed to guarantee the integrity of the transmitted information and its confidentiality. The cryptographic system NTRUEncrypt is abl