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A Class of Optimal Switching Mixed Data Injection Attack in Cyber-Physical Systems
IEEE Robotics and Automation Letters ( IF 5.2 ) Pub Date : 2021-02-02 , DOI: 10.1109/lra.2021.3056340
Sheng Gao , Hao Zhang , Zhuping Wang , Chao Huang

This letter considers a class of switching mixed data injection attacks using input derivatives in cyber-physical systems with linear quadratic(LQ) cost from the perspective of the attacker. The attacker injects data mixed with false data and its derivative into a healthy system, which destroys the performance of the original system. For this situations, the optimal mixed data injection attack strategy is designed to minimize the quadratic cost and most damage the performance of the system. After that, in order to increase the complexity, concealment and energy saving of the attack, we designed the optimal switching mixed data injection attack strategy. Finally, numerical results and comparative experiments are provided to illustrate the effectiveness of the proposed method.

中文翻译:

网络物理系统中的一类最优交换混合数据注入攻击

这封信从攻击者的角度出发,考虑了一类使用线性线性(LQ)成本在网络物理系统中使用输入派生类切换混合数据注入攻击的方法。攻击者将混合有虚假数据及其派生数据的数据注入健康的系统,这会破坏原始系统的性能。对于这种情况,最佳的混合数据注入攻击策略旨在最大程度地降低二次成本,并最大程度地损害系统性能。此后,为了增加攻击的复杂性,隐蔽性和节能性,我们设计了最优的交换混合数据注入攻击策略。最后,数值结果和对比实验说明了该方法的有效性。
更新日期:2021-03-05
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