Development of a secure neural traffic tunneling system with post-performance evaluation

IF 0.4 Q4 MATHEMATICS, APPLIED Journal of Applied Mathematics & Informatics Pub Date : 2022-10-21 DOI:10.37791/2687-0649-2022-17-5-88-101
A. Zaenchkovski, A. Lazarev, Victor Yu. Sinyavskiy
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Abstract

Currently information exchange methods and means of communication development are being done a significant impact on the level of all industrial and economic entities innovation potential, which is also the same for their group formations, such as regional complexes. It is necessary to note high degree of integration and interdependence of all such systems elements and processes closely interconnected by different kind of networks. Among them, it is possible to highlight the interaction between participants of scientific and industrial cluster within the framework of innovative activities, which should provide possibility to transfer and receive various kinds of data, which could be both open and confidential type. At the current stage, there is not many applied tools for ensuring confidentiality in the implementation of these processes. For example, they partially solve the problem of traffic tunnelling systems based on OpenVPN or WireGuard tunnels, and other software solutions provide the potential of an extensible cloud (Nextcloud). However, analysing the functionality of these solutions, it is possible to identify shortcomings that do not allow their implementation in the complex production and economic systems processes of innovative development. Thus, existing traffic tunnelling solutions are not adapted for deployment on a corporate scale with a flexible organisational structure. In solutions based on Nextcloud, the complexity disadvantages of the server configuration and the cost of the primary software configuration are highlighted. To solve the above problems, in article has been proposed an intelligent traffic tunneling system, which is based on using additional means of primary automated OpenVPN connection initialization at neural module expense. A dynamic digital fingerprint distribution system with two-way key exchange was used as an authorization server. The developed software solution was tested and then compared with existing analogues. This experiment may to conclusion that the developed software solution is not inferior in a number of aspects to existing methods, and can subsequently be used to ensure secure information and communication exchange between industrial and economic entities in clusters during innovative processes implementation.
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具有后性能评价的安全神经网络流量隧道系统的开发
目前,信息交流方法和通讯手段的发展正在对所有工业和经济实体的创新潜力水平产生重大影响,这对它们的集团形成,如区域综合体也是如此。必须指出,所有这些系统的要素和由不同种类的网络密切联系的过程高度一体化和相互依存。其中,可以突出创新活动框架内科技和产业集群参与者之间的互动,提供各种数据传递和接收的可能性,这些数据可以是公开的,也可以是保密的。在目前阶段,没有很多应用的工具来确保这些过程的保密性。例如,它们部分解决了基于OpenVPN或WireGuard隧道的流量隧道系统的问题,其他软件解决方案提供了可扩展云(Nextcloud)的潜力。但是,通过分析这些解决办法的功能,可以找出在创新发展的复杂生产和经济系统过程中无法实施这些办法的缺点。因此,现有的流量隧道解决方案不适合在具有灵活组织结构的企业规模上部署。在基于Nextcloud的解决方案中,突出了服务器配置的复杂性缺点和主要软件配置的成本。为了解决上述问题,本文提出了一种智能流量隧道系统,该系统以神经模块为代价,使用主OpenVPN连接自动初始化的附加手段。采用双向密钥交换的动态数字指纹分发系统作为授权服务器。对开发的软件方案进行了测试,并与现有的类似方案进行了比较。本实验可以得出结论,开发的软件解决方案在许多方面都不逊于现有方法,并且可以随后用于确保在创新过程实施过程中集群中工业和经济实体之间的安全信息和通信交换。
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