信息与控制2018，Vol.47Issue(1)：16-21,6.DOI:10.13976/j.cnki.xk.2018.0016
基于自适应卡尔曼滤波器的智能电网隐蔽假数据攻击检测
Adaptive Kalman Filter-based Detection of Covert False Data Injection Attacks in Smart Grids
摘要
Abstract
The detection problem of covert false data injection attack ( FDIA ) for smart grids by using adaptive Kalman filter ( AKF) is herein presented. The state-space model of the smart grid is employed to study the characteristics of the random attack and the FDIA. However, an accurate analysis revealed that the commonly used χ2-detector could only detect random attack efficiently, but not the FDIA. To overcome this drawback, the AKF is applied to assess FDIA by analyzing the covert characteristics of the FDIA and the change of actual noise. Finally, the simulation experiments verify the effectiveness of the proposed FDIA de-tection method.关键词
智能电网/隐蔽假数据注入攻击/攻击检测/自适应卡尔曼滤波器Key words
smart grid/covert false data injection attack/attack detection/adaptive Kalman filter分类
信息技术与安全科学引用本文复制引用
罗小元,朱鸣皋,王新宇,关新平..基于自适应卡尔曼滤波器的智能电网隐蔽假数据攻击检测[J].信息与控制,2018,47(1):16-21,6.基金项目
河北省自然科学基金资助项目(2016203119) （2016203119）
