首页> 外文期刊>Cybernetics and Systems Analysis >MATHEMATICAL DIFFERENTIAL MODELS AND METHODS FOR ASSESSING THE CYBERSECURITY OF INTELLIGENT COMPUTER NETWORKS FOR CONTROL OF TECHNOLOGICAL PROCESSES OF RAILWAY POWER SUPPLY
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MATHEMATICAL DIFFERENTIAL MODELS AND METHODS FOR ASSESSING THE CYBERSECURITY OF INTELLIGENT COMPUTER NETWORKS FOR CONTROL OF TECHNOLOGICAL PROCESSES OF RAILWAY POWER SUPPLY

机译:铁路供电技术过程控制智能计算机网络安全性评估的数学差分模型和方法

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摘要

The problem of cybersecurity of computer networks for control of power supply at the level of railroads is analyzed and a graph of the topology of a computer network for control of power consumption is proposed. Based on the Pukhov theory of differential transformations, a number of differential mathematical models are proposed to assess the level of cybersecurity of a computer network for control of power supply. For differential images, a cybersecurity criterion is proposed and the minimax principle is developed for the worst combination of the intensity of cyberattacks and the flow of protective actions. A method of predictive search for an optimal cybersecurity strategy by the extremum analysis of a functional for the case of stochastic intensity of flows of cyberattacks is developed.
机译:分析了铁路一级用于控制电力供应的计算机网络的网络安全问题,并提出了用于控制功耗的计算机网络的拓扑图。基于Pukhov微分变换理论,提出了许多微分数学模型来评估用于控制电源的计算机网络的网络安全级别。对于差分图像,提出了一种网络安全标准,并针对网络攻击强度和保护措施流程的最坏组合提出了最小最大化原则。通过对网络攻击流量的随机强度情况下的功能进行极值分析,开发了一种预测搜索的最佳网络安全策略的方法。

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