电力控制系统中的攻击与故障识别:一种提高安全性的方法

M. P. Coutinho, G. Lambert-Torres, Luiz Eduardo Borges da Silva, J. G. B. Silva, José Cabral, Edson Da Costa Bortoni, H. Lazarek
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引用次数: 7

摘要

本文提出了一种规则提取技术,用于识别攻击和故障,以提高电力控制系统的安全性。通过使用粗糙集分类算法,可以定义一组规则。该方法试图减少输入变量的数量和示例的数量,提供一组更紧凑的示例来将规则固定到异常检测器。给出了一个说明性实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attack and Fault Identification in Electric Power Control Systems: An Approach to Improve the Security
This paper presented a technique to extract rules in order to identify attacks and faults to improve security of electric power control systems. By using rough sets classification algorithm, a set of rules can be defined. The approach tries to reduce the number of input variables and the number of examples, offering a more compact set of examples to fix the rules to the anomaly detector. An illustrative example is presented.
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