Variance Analysis of Networks Traffic for Intrusion Detection in Smart Grids

2019 IEEE 6th International Conference on Energy Smart Systems (ESS) Pub Date : 2019-04-01 DOI:10.1109/ESS.2019.8764195

A. Kuznetsov, A. Kiian, Oleksii Smirnov, Alina Zamula, Serhii Rudenko, V. Hryhorenko

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引用次数: 6

Abstract

We consider the systems of detection and prevention of intrusions in modern telecommunication systems and networks. Methods of monitoring events, consisting of analysis of network activity of individual services and information services, are analyzed. It is proposed to use the mathematical apparatus of analysis of variance for processing results of modeling telecommunication systems and studying the statistical properties of network traffic in determining the significance of discrepancies or coincidence of characteristics. The proposed approach is to use the Fisher statistical criterion based on an estimate of the ratio of sample variances. This allows you to test the hypothesis about the homogeneity of statistical properties of network traffic with respect to the variance index (variance) with a given level of significance. The obtained results of experimental studies are recommended to be used to improve mechanisms for monitoring the network activity of individual services and information services, including for detecting and preventing intrusions in telecommunications systems and networks of promising Smart Grids.

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面向智能电网入侵检测的网络流量方差分析

我们考虑了现代电信系统和网络中的入侵检测和预防系统。分析了事件监控的方法，包括对单个服务和信息服务的网络活动分析。提出利用方差分析的数学工具对电信系统建模结果进行处理，并研究网络流量的统计特性，以确定特征的差异或重合的重要性。提出的方法是使用基于样本方差比估计的费雪统计准则。这允许您测试关于网络流量统计属性的同质性的假设，该假设相对于具有给定显著性水平的方差指数(方差)。建议将实验研究获得的结果用于改进监测单个服务和信息服务的网络活动的机制，包括检测和防止电信系统和有前途的智能电网网络的入侵。

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2019 IEEE 6th International Conference on Energy Smart Systems (ESS)

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