Optimal Stealthy Attack With Side Information Against Remote State Estimation: A Corrupted Innovation-Based Strategy
研究了攻击者利用截获信息和额外传感器侧信息，设计最优隐蔽攻击以破坏远程状态估计性能的问题，提出一种基于损坏新息的攻击模型并推导了最优策略。
This article studies the problem of designing the optimal strictly stealthy attack against remote state estimation in cyber-physical systems, where the attacker possesses both the intercepted information and the side information sensed by an additional sensor. Combining the intercepted information with the side information, a novel corrupted innovation-based attack model with higher-design flexibility is proposed, and the analytical optimal attack strategy is derived. Compared with the existing results based on nominal innovation, the proposed attack model eliminates the need for an additional filter to calculate nominal innovation, which saves computational resources, and can achieve greater performance degradation of remote state estimation. Finally, in order to verify the superiority and effectiveness of the results, the numerical examples are given.