基于数据挖掘算法的入侵检测系统在工业网络中的应用

M. A. Gurin, A. M. Vulfin, V. Vasilyev, A. Nikonov
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引用次数: 2

摘要

本工作的目的是基于智能网络流量分析算法来提高工业网络自动化过程控制系统的安全性。分析了某企业工业网络中对自动化过程控制系统实施网络攻击时,违反者的行为检测和记录问题。提出了工业控制系统工业网络监控系统的结构和功能模型。开发了一种算法,用于对工业协议的网络流量进行智能分析,并开发了一个软件包,该软件包将所提出的算法作为监控系统的一部分,以评估所提出的解决方案对现场数据的有效性。
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Intrusion detection system on the basis of data mining algorithms in the industrial network
The purpose of the work is to increase the security of the industrial network of an automated process control system based on intelligent network traffic analysis algorithms. The analysis of the problem of detecting and recording actions of violators on the implementation of a network attack on an automated process control system in the industrial network of an enterprise has been performed. A structural and functional model of the monitoring system of the industrial network of industrial control systems is proposed. An algorithm is developed for the intellectual analysis of network traffic of industrial protocols and a software package that implements the proposed algorithms as part of a monitoring system to evaluate the effectiveness of the proposed solution on field data.
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