子空间拓扑
计算机科学
信息物理系统
编码(社会科学)
鉴定(生物学)
方案(数学)
数据挖掘
人工智能
统计
数学
数学分析
植物
操作系统
生物
作者
Zhengen Zhao,Yimin Huang,Ziyang Zhen,Yuzhe Li
标识
DOI:10.1109/tcyb.2020.2969320
摘要
In this article, a data-driven design scheme of undetectable false data-injection attacks against cyber-physical systems is proposed first, with the aid of the subspace identification technique. Then, the impacts of undetectable false data-injection attacks are evaluated by solving a constrained optimization problem, with the constraints of undetectability and energy limitation considered. Moreover, the detection of designed data-driven false data-injection attacks is investigated via the coding theory. Finally, the simulations on the model of a flight vehicle are illustrated to verify the effectiveness of the proposed methods.
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