分布式网络攻击检测和物理故障诊断,用于一类相互连接的大型系统
Limei Liang1, Shuai Liu1, Haotian Xu1
1School of Control Science and Engineering, Shandong University, Jinan 250061, China.
ISA transactions
|March 28, 2024
概括
本研究介绍了一种新的分布式方法,用于检测网络攻击和诊断互联大规模系统 (ILSS) 中的物理故障. 该方法通过将边缘测量与卡尔曼波器集成来提高准确性,以改善状态估计和故障检测.
科学领域:
- 控制系统工程 控制系统工程
- 网络物理系统安全 网络物理系统安全
- 网络系统分析 网络系统分析
背景情况:
- 互联大规模系统 (ILSS) 在同时检测网络攻击和诊断物理故障方面面临复杂的挑战.
- 现有的方法经常与分布式环境和多种测量类型的集成作斗争.
研究的目的:
- 开发一个强大的分布式方案,用于ILSS的网络攻击检测和物理故障诊断.
- 为了提高准确性和减少故障检测和隔离中的错误报警.
主要方法:
- 利用节点和边缘测量来构建用于子系统状态估计的分布式卡尔曼过器.
- 设计卡尔曼波器增益矩阵,以尽量减少在无攻击和无故障场景中的估计误差共变量.
- 在边缘测量上使用相邻的残余发生器与Chi-square测试来检测网络攻击.
- 实施局部残余发生器,用于分布式物理故障检测和隔离的方差和定向残余分析.
主要成果:
- 拟议的方案有效地检测边缘测量的网络攻击,并诊断子系统内的物理故障.
- 整合边缘测量和优先检测-估计过程可以提高故障检测和隔离的准确性.
- 建立了一个足够的条件,以确保估计错误的平均平方指数边界度.
结论:
- 开发的分布式方法提供了一个可靠的解决方案,用于在ILSS中同时检测网络攻击和物理故障诊断.
- 方法的有效性通过一个说明性的例子来验证,证明其实际适用性.
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