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首页> 外文期刊>Industrial Electronics, IEEE Transactions on >Optimal Tradeoff Between Performance and Security in Networked Control Systems Based on Coevolutionary Algorithms
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Optimal Tradeoff Between Performance and Security in Networked Control Systems Based on Coevolutionary Algorithms

机译：基于协同进化算法的网络控制系统性能与安全性的最优权衡

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Networked control systems (NCS) have to be well protected with security mechanisms from malicious attackers on the network (e.g., Internet). However, the additional security mechanism might sacrifice the performance of the NCS due to limited system resources. This paper addresses the issue of the tradeoff between NCS security and the NCS real-time performance. Using a networked DC motor system as an example, a tradeoff model for performance and security on NCS is presented. This paper also presents a framework of performance–security tradeoff optimization based on coevolutionary genetic algorithm (CGA) for the networked DC motor system. Experiments show that CGA is highly efficient in finding the Nash equilibrium for the tradeoff model on NCS. The framework presented in this paper is also demonstrated to be an effective approach for performance–security tradeoff analysis and optimization on NCS.
机译：必须使用安全机制很好地保护网络控制系统（NCS），使其免受网络（例如Internet）上恶意攻击者的侵害。但是，由于系统资源有限，附加的安全机制可能会牺牲NCS的性能。本文讨论了NCS安全性和NCS实时性能之间的权衡问题。以网络直流电动机系统为例，提出了一种在NCS上性能和安全性的权衡模型。本文还提出了基于协同进化遗传算法（CGA）的网络直流电动机系统性能-安全性折衷优化的框架。实验表明，CGA在为NCS权衡模型寻找Nash平衡方面非常有效。本文中介绍的框架也被证明是用于NCS的性能-安全性折衷分析和优化的有效方法。

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