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Trojan Detection and Side-channel Analyses for Cyber-security in Cyber-physical Manufacturing Systems

机译:网络物理制造系统中网络安全的特洛伊木马检测和旁通道分析

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As the maliciousness and frequency of cyber-attacks continues to grow, the safety and security of cyber-physical critical infrastructures, such as manufacturing, is quickly becoming a significant concern across the globe. Outside of traditional intellectual property theft, attacks against manufacturing systems pose a threat to maintaining a product's design intent. More specifically, such attacks can alter a manufacturing system to produce a part incorrectly; resulting in impaired functionalities or reduced performance. Manufacturing systems rely heavily upon the use of quality control systems to detect quality losses and to ensure the continued production of high-quality parts. However, quality control systems are not designed to detect the effects of malicious attacks and are ill-suited to act as a cyber-security measure for many manufacturing systems. Therefore, this paper presents a novel product/process design approach to enable real-time attack detections to supplement the shortcomings of quality control systems. The proposed approach, inspired by side-channel schemes used to detect Trojans (foreign malicious logic) in integrated circuits, aims at detecting changes to a manufactured part's intrinsic behavior through the use of structural health monitoring techniques.
机译:随着网络攻击的恶意和频率不断增长,诸如制造等网络物理关键基础设施的安全性正迅速成为全球关注的重要问题。除了传统的知识产权盗窃之外,对制造系统的攻击对维持产品的设计意图构成了威胁。更具体地说,这种攻击会改变制造系统以错误地生产零件。导致功能受损或性能下降。制造系统严重依赖使用质量控制系统来检测质量损失并确保持续生产高质量零件。但是,质量控制系统并非旨在检测恶意攻击的影响,因此不适用于许多制造系统的网络安全措施。因此,本文提出了一种新颖的产品/过程设计方法,以使实时攻击检测成为可能,以补充质量控​​制系统的缺点。所提议的方法受到用于检测集成电路中特洛伊木马(外部恶意逻辑)的边信道方案的启发,旨在通过使用结构健康监测技术来检测制造零件的固有行为的变化。

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