| Autor: |
Zaenchkovski, Artur, Lazarev, Alexey, Tukaev, Dmitrii, Epifanov, Victor |
| Předmět: |
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| Zdroj: |
International Journal of Parallel, Emergent & Distributed Systems; May2022, Vol. 37 Issue 3, p303-317, 15p |
| Abstrakt: |
One of modern industrial systems key features is the special role of information in their creation and operation. On the one hand, being a source of innovative ideas, it stimulates the transformation of production processes in a strategic perspective, on the other hand – it significantly expands capabilities of individual enterprises. Implementation of information interaction are currently carried out using IPv4 streaming, which is a common and traditional way of communicating distributed devices. However, this protocol has a number of critical vulnerabilities. To solve this problem, the multiplatform information flow management system for industrial enterprises devices based on neural network data addressing version 6 of the IP protocol was developed. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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