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Information × Registration Number 0225U001981, (0123U101020) , R & D reports Title Development of a symmetric cryptosystem based on the use of a convolutional artificial neural network popup.stage_title Розробка симетричної криптосистеми на основі використання згорткової штучної нейронної мережі Head Yevseiev Serhii P., Доктор технічних наук Registration Date 13-02-2025 Organization National Technical University "Kharkiv Polytechnic Institute" popup.description1 Improving the efficiency of building and using symmetric cryptosystems due to the use of neurocryptological models and algorithms based on artificial neural networks popup.description2  The object of the research is information resource protection systems in cyber-physical systems, in particular banking information resources, social Internet services and communication channels in the post-quantum period. The purpose of the work is to improving the efficiency of building and using symmetric cryptosystems due to the use of neurocryptological models and algorithms based on artificial neural networks. Research methods: Theoretical analysis of cryptographic algorithms and error correction codes. Modeling and analysis of properties of hybrid crypto-code structures. Experimental studies of the effectiveness of cryptosystems under various threat conditions. The properties of asymmetric crypto-code systems, in particular the McAleese and Niederreiter systems, were studied using modified algebrogeometric codes. Hybrid crypto-code structures using lossy codes and LDPC codes were studied to ensure confidentiality, integrity and authenticity of information. Mathematical models of hybrid crypto-code structures were obtained, which demonstrate high resistance to quantum attacks and effective error correction in wireless communication channels. An improved SSL/TLS protocol has been developed that provides protection against modern attacks, such as 0-RTT attacks. It has been found that the proposed methods allow to significantly increase the level of protection of information resources while reducing energy consumption and ensuring long-term reliability of data in critical infrastructures. An analysis of modern threats and shortcomings of existing two-factor authentication protocols has been conducted and a new authentication method based on hybrid crypto-code constructions has been proposed, which increases resistance to attacks in open communication channels. Product Description popup.authors Holdobin Serhii M. Dunaiev Serhii V. Kushnerov Oleksandr S. Milevskyi Stanislav V. Melenti Yevhen O. Parzhyn Yurii V. Pohasii Serhii S. Sokol Vladyslav Ye. Stetsenko Vadym O. popup.nrat_date 2025-02-13 Close
R & D report
Head: Yevseiev Serhii P.. Development of a symmetric cryptosystem based on the use of a convolutional artificial neural network. (popup.stage: Розробка симетричної криптосистеми на основі використання згорткової штучної нейронної мережі). National Technical University "Kharkiv Polytechnic Institute". № 0225U001981
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Updated: 2026-03-21