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首页> 外文期刊>IEEE Transactions on Automatic Control >A Moving Target Defense Control Framework for Cyber-Physical Systems
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A Moving Target Defense Control Framework for Cyber-Physical Systems

机译：用于网络物理系统的移动目标防御控制框架

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This paper considers the problem of efficiently and securely controlling cyber-physical systems that are operating in uncertain, and adversarial environments. To mitigate sensor, actuator attacks, and performance loss due to such attacks, we formulate a secure control algorithm that consists of a proactive and a reactive defense mechanism. The proactive mechanism, which is based on the principles of moving target defense, utilizes a stochastic switching structure to dynamically and continuously alter the parameters of the system, while hindering the attacker & x0027;s ability to conduct successful reconnaissance to the system. The unpredictability of the current actuator and sensor is optimized using an information entropy measure, which is induced by probabilistic switching. The reactive mechanism on the other side, detects potentially attacked components, namely sensors and actuators, by leveraging online data to compute an integral Bellman error. A rigorous mathematical framework is presented to guarantee the stability of the equilibrium point of the closed-loop system, and provide a quantified bound on the performance loss when utilizing both reactive and proactive mechanisms. Simulation results show the efficacy of the proposed approaches on a benchmark aircraft model.
机译：本文考虑了有效和安全地控制在不确定和对抗环境中运营的网络物理系统的问题。为了减轻传感器，执行器攻击和由于此类攻击而进行性能损失，我们制定了一种安全控制算法，该算法包括主动和无功防御机制。基于移动目标防御的原理的主动机制利用随机开关结构动态和连续地改变系统的参数，同时阻碍攻击者和X0027的能力对系统进行成功侦察的能力。使用概率切换引起的信息熵测量来优化当前执行器和传感器的不可预测性。通过利用在线数据来计算积分Bellman误差，对另一侧的反应机制检测可能攻击的组件，即传感器和执行器，即传感器和执行器。提出了一种严格的数学框架，以保证闭环系统的平衡点的稳定性，并在利用反应性和主动机制时提供性能损失的量化界定。仿真结果表明，提出的方法对基准飞机模型的功效。

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