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ASiMOV: A self-protecting control application for the smart factory

机译:Asimov:智能工厂的自我保护控制应用

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The evolution of manufacturing systems into a smart factory brings advantages but also increased cyber-risks. This paper investigates the problem of intrusion detection and autonomous response to cyber-attacks targeting the control logic of industrial control applications for the smart factory. Specifically, we propose ASiMOV (Asynchronous Modular Verification), a self-protecting architecture for cyber-physical systems realizing a verifiable control application. ASiMOV is inspired by modular redundancy and leverages virtualization technologies to respond and to prevent cyber-attacks to the control logic. Using simulation experiments, we evaluate: the effects of an attack on an industrial control application enhanced by ASiMOV; the delay introduced by ASiMOV within a control loop; and the cyber-attack detection delay. Results show that, in the simulated scenario, the controller can work with a sampling rate of up to 200 Hertz. Any tampering with the control logic is detected without false positivesegatives in a time equal to the latency between the proposed control application and the proposed IDS (e.g., tens to hundreds of milliseconds).
机译:制造系统进入智能工厂的发展带来了优势,也会增加网络风险。本文研究了针对智能工厂工业控制应用控制逻辑的网络攻击的入侵检测和自主反应问题。具体地,我们提出了ASIMOV(异步模块化验证),用于实现可验证控制应用的网络物理系统的自保护架构。 Asimov受模块化冗余的启发,利用虚拟化技术来响应并防止网络攻击对控制逻辑。利用仿真实验,我们评估:ASIMOV增强了攻击对工业控制应用的影响;控制回路内的ASIMOV引入的延迟;和网络攻击检测延迟。结果表明,在模拟场景中,控制器可以采用高达200赫兹的采样率。在等于所提出的控制应用程序和所提出的ID(例如,数百毫秒)之间的时间内没有误报/否定的任何篡改与控制逻辑的篡改。

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