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An Approach to Classification of the Information Security State of Elements of Cyber-Physical Systems Using Side Electromagnetic Radiation

机译:利用侧电磁辐射对电子物理系统元素的信息安全状态进行分类的方法

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摘要

The paper deals with problematic issues of information security in cyber-physical systems. Performance analysis of autonomous objects has been carried out. An information security monitoring system model based on the characteristics resulting from the analysis of electromagnetic radiation from electronic components in standalone devices of cyber-physical systems is presented. A typical scheme for determining the state of a system is shown. Due to the features of equipment sustaining the infrastructure, assessment of an information security state is aimed at analyzing normal system operation rather than searching for signatures and characteristics of anomalies during various types of information attacks. An experiment that provides statistical information on the operation of remote devices of cyber-physical systems has been disclosed, whereby data for decision-making are accumulated by comparing statistical information. The experimental results on information influence on a typical system are presented. The proposed approach for analyzing statistical data of standalone devices based on a naive Bayesian classifier can be used to determine information security states. A special feature of the approach is the ability to rapid adaptation and application of various mathematical tools and machine learning methods to achieve a desired quality of probabilistic evaluation. Implementation of this type of monitoring does not require a development of complex system applications while allowing implementation of various architectures for system construction that are capable of processing on-board an autonomous object or of communicating data and calculating the state on external computer nodes of monitoring and control systems.
机译:本文讨论了网络物理系统中信息安全的问题。自治对象的性能分析已经进行。提出了一种基于特征的信息安全监控系统模型,该特征是通过分析电子物理系统独立设备中电子组件的电磁辐射得出的。示出了用于确定系统状态的典型方案。由于设备具有支撑基础设施的特性,因此对信息安全状态的评估旨在分析正常的系统运行情况,而不是在各种类型的信息攻击期间搜索异常的特征和特征。已经公开了提供关于电子物理系统的远程设备的操作的统计信息的实验,从而通过比较统计信息来积累用于决策的数据。给出了信息对典型系统影响的实验结果。提出的基于朴素贝叶斯分类器的独立设备统计数据分析方法可用于确定信息安全状态。该方法的一个特殊功能是能够快速适应和应用各种数学工具和机器学习方法,以实现所需的概率评估质量。此类监视的实现不需要开发复杂的系统应用程序,而允许实现用于系统构建的各种体系结构,这些体系结构能够处理自主对象或通信数据并计算监视和监视外部计算机节点上的状态。控制系统。

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