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Combined formаtion of a cryptographic key using synchronized artificial neural networks
Doklady BGUIR, 2021 А combined method for forming a cryptographic key is proposed in the article. The proposed combined formation consists of two stages: the formation of partially coinciding binary sequences using synchronized artificial neural networks and the elimination of mismatched bits by open comparison of the parities of bit pairs.
M. L. Radziukevich, V. F. Golikov
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Two-way attack on synchronized artificial neural networks forming a common secret
«System analysis and applied information science»The vulnerability of the technology for generating a common cryptographic key using synchronized artificial neural networks (ANN) is considered in a relatively new type of attack called two-way. The essence of the attack is that a cryptanalyst, listening to an open communication channel, creates two identical artificial neural networks, one of which he
U. F. Holikau +2 more
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Attack on synchronized artificial neural networks, forming a common secret by deferred search
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019 The application of synchronized artificial neural networks for generation of a common cryptographic key and an attack by deferred search on these networks with the purpose of obtaining this key are considered.
V. F. Golikov, A. Y. Ksenevich
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IEEE Transactions on Cognitive and Developmental SystemsArtificial neural networks (ANNs), originally inspired by biological neural networks (BNNs), have achieved remarkable successes in many tasks such as visual representation learning. However, whether there exists semantic correlations/connections between the visual representations in ANNs and those in BNNs remains largely unexplored due to both the lack
Xintao Hu, Zihao Wu, Lu Zhang
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Системный анализ и прикладная информатика, 2021 This article discusses one of the ways to generate a common cryptographic key using synchronized artificial neural networks. This option is based on a combined method of forming a cryptographic key [1].
M. L. Radziukevich
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Secure Synchronization of Artificial Neural Networks Used to Correct Errors in Quantum Cryptography
ICC 2023 - IEEE International Conference on Communications, 2023 The paper submitted to IEEE ICC 2023 ...
Marcin Niemiec +2 more
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Next-generation predictive maintenance: leveraging blockchain and dynamic deep learning in a domain-independent system [PDF]
PeerJ Computer Science, 2023 The fourth industrial revolution, often referred to as Industry 4.0, has revolutionized the manufacturing sector by integrating emerging technologies such as artificial intelligence (AI), machine and deep learning, Industrial Internet of Things (IIoT ...
Montdher Alabadi, Adib Habbal
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Scientific Reports, 2023 Brain circuits display modular architecture at different scales of organization. Such neural assemblies are typically associated to functional specialization but the mechanisms leading to their emergence and consolidation still remain elusive.
Raphaël Bergoin +4 more
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Determination of synchronous machine parameters through the SSFRTtest and artificial neural networks [PDF]
The Journal of Engineering, 2019 The frequency response test on synchronous generators has been increasing in the last decades, but the high cost of equipment used for conducting the test is still a stumbling block for both manufacturers and end consumers. This study aims to propose a methodology for obtaining parameters, through the use of neural networks.
Luiz Henrique Damato Kornrumpf +1 more
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Scientific Reports, 2023 The effectiveness, robustness, and flexibility of memory and learning constitute the very essence of human natural intelligence, cognition, and consciousness.
Vitaly L. Galinsky, Lawrence R. Frank
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