论文标题
通过动态掩蔽，网络控制系统中的隐私和安全性
Privacy and Security in Network Controlled Systems via Dynamic Masking
论文作者
论文摘要
在本文中，我们提出了一种新的体系结构，以增强针对恶意对手的网络控制系统的隐私和安全性。我们考虑了一个对手，该对手首先使用系统识别技术学习系统动态（隐私），然后执行数据注入攻击（安全性）。特别是，我们考虑进行零动力攻击（ZDA）的对手，该攻击（ZDA）在未被发现的同时最大化系统的性能成本。但是，使用所提出的体系结构，我们表明（i）在对手的系统估计中引入重大偏见：因此提供了系统参数的隐私，（ii）当对手使用已识别的系统执行ZDA时，有效地检测攻击，从而提供安全性。通过数值模拟，我们说明了所提出的体系结构的功效。
In this paper, we propose a new architecture to enhance the privacy and security of networked control systems against malicious adversaries. We consider an adversary which first learns the system dynamics (privacy) using system identification techniques, and then performs a data injection attack (security). In particular, we consider an adversary conducting zero-dynamics attacks (ZDA) which maximizes the performance cost of the system whilst staying undetected. However, using the proposed architecture, we show that it is possible to (i) introduce significant bias in the system estimates of the adversary: thus providing privacy of the system parameters, and (ii) efficiently detect attacks when the adversary performs a ZDA using the identified system: thus providing security. Through numerical simulations, we illustrate the efficacy of the proposed architecture.
