Multiple-Valued Logic and Neural Network in the Position-Based Cryptography Scheme
| Autor: | Alexey Yu. Bykovsky |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
Theoretical computer science Artificial neural network business.industry Computer science Mobile robot Cryptography Atomic and Molecular Physics and Optics Variety (cybernetics) Quantum technology Position (vector) business Engineering (miscellaneous) Protocol (object-oriented programming) computer Computer Science::Cryptography and Security computer.programming_language |
| Zdroj: | Journal of Russian Laser Research. 42:618-630 |
| ISSN: | 1573-8760 1071-2836 |
| DOI: | 10.1007/s10946-021-10000-7 |
| Popis: | Position-based cryptography schemes for network mobile robots assume the integration of quantum technologies and artificial intelligence methods of neural networks and multi-agent systems. The design of such schemes can be simplified by means of multiple-valued logic used both for modeling of the position-based cryptography protocol by Unruh and the neural network; that is the way to enlarge the variety of verification schemes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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