A. Zaenchkovski, A. Lazarev, Dmitrii Tukaev, V. Epifanov
{"title":"创新科技产业集群中的智能信息流管理系统","authors":"A. Zaenchkovski, A. Lazarev, Dmitrii Tukaev, V. Epifanov","doi":"10.1080/17445760.2022.2060976","DOIUrl":null,"url":null,"abstract":"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. GRAPHICAL ABSTRACT","PeriodicalId":45411,"journal":{"name":"International Journal of Parallel Emergent and Distributed Systems","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Intelligent information flow management system in innovative scientific and industrial clusters\",\"authors\":\"A. Zaenchkovski, A. Lazarev, Dmitrii Tukaev, V. Epifanov\",\"doi\":\"10.1080/17445760.2022.2060976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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. GRAPHICAL ABSTRACT\",\"PeriodicalId\":45411,\"journal\":{\"name\":\"International Journal of Parallel Emergent and Distributed Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Parallel Emergent and Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17445760.2022.2060976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Parallel Emergent and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17445760.2022.2060976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Intelligent information flow management system in innovative scientific and industrial clusters
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. GRAPHICAL ABSTRACT