Common Secret Key Derivation Based on Synchronized Artificial Neuronal Networks Using Multispeed Weighted Coefficients Correction
It's possible to use artificial neuronal networks for secret key derivation. Transneuronal statistical weights of synchronized artificial neuronal networks will be used as a secret key. Proposed algorithm allows to decrease synchronization time meaningfully. Proposed correction rule helps to so...
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| Subjects: | |
| Online Access: | https://doklady.bsuir.by/jour/article/view/530 |
| Summary: | It's possible to use artificial neuronal networks for secret key derivation. Transneuronal statistical weights of synchronized artificial neuronal networks will be used as a secret key. Proposed algorithm allows to decrease synchronization time meaningfully. Proposed correction rule helps to solve the problem of statistical weights binding while synchronizing artificial neuronal networks. |
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| ISSN: | 1729-7648 |