An Online Detection Framework for Cyber Attacks on Automatic Generation Control
An Online Detection Framework for Cyber Attacks on Automatic Generation Control
复制标题
DOI：
10.1109/tpwrs.2018.2829743
复制
发表时间：
2017-12
影响因子：
6.6
通讯作者：
Tong Huang;Bharadwaj Satchidanandan;P. Kumar;Le Xie
中科院分区：
文献类型：
--
作者：
Tong Huang;Bharadwaj Satchidanandan;P. Kumar;Le Xie
我们提出了一个在线框架来检测自动发电控制的网络攻击。设计了一种基于动态水印的网络攻击检测算法。该检测算法提供了一个理论上的保证，检测网络攻击发起的复杂的攻击者拥有广泛的知识，目标电力系统的物理和统计模型。所提出的框架实际上是可实现的，因为它不需要对生成单元进行硬件更新。在四区域系统和140节点系统中验证了该框架的有效性。
We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attackers possessing extensive knowledge of the physical and statistical models of targeted power systems. The proposed framework is practically implementable, as it needs no hardware update on generation units. The efficacy of the proposed framework is validated in both four-area system and 140-bus system.