Analysis of data transmission network construction technologies with high requirements for information security, reliability, and latency

Abstract

The scientific article is dedicated to the analysis of contemporary approaches and technologies in the construction of data transmission networks aimed at ensuring information security, reliability, and minimal latency. The necessity of comprehensively considering factors influencing network efficiency with a focus on reliability and security is substantiated. Network analysis enables the creation of an infrastructure that meets the demands of the modern information environment, comprehensively weighing the advantages and disadvantages of each network technology during construction. For the mathematical evaluation of data transmission network reliability, a Markov model is proposed, which is based on Markov processes theory. Developed using the Python programming language and relevant libraries, the model allows for a quantitative assessment of data transmission network reliability, considering various failure factors, state transitions, and recovery. The model facilitates forecasting network states and planning preventive organizational and technical measures to ensure reliability and security, in light of the constantly increasing demands for service quality and confidential information protection. An analysis of transmission delay methods has revealed a correlation between the transmission speed and volume of information with various factors, such as bandwidth, network load, connection type and speed, and data processing by network nodes. The research underscores the need to choose specific methods based on the network’s characteristics and its intended tasks. Based on the analysis results, to construct efficient networks that meet information security, reliability, and transmission delay requirements, there is a recognized need for comprehensive development of evaluation systems and the creation of a unified evaluation model.