دانلود مقاله ISI انگلیسی شماره 43747
ترجمه فارسی عنوان مقاله

تشخیص تروجان و جاذبه های کانال آزمایشاتی برای امنیت سایبری در سیستم های تولید سایبر فیزیکی

عنوان انگلیسی
Trojan Detection and Side-channel Analyses for Cyber-security in Cyber-physical Manufacturing Systems ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
43747 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Manufacturing, Volume 1, 2015, Pages 77–85

ترجمه کلمات کلیدی
تشخیص حمله سایبری - سیستم های تولید سایبر فیزیکی - کنترل کیفیت - تجزیه و تحلیل سمت کانال - نظارت بر بهداشت سازه - تروجان ها
کلمات کلیدی انگلیسی
Cyber-Attack detection; Cyber-Physical manufacturing systems; Quality control; Side-Channel analyses; Structural Health Monitoring; Trojans
پیش نمایش مقاله
پیش نمایش مقاله  تشخیص تروجان و جاذبه های کانال آزمایشاتی برای امنیت سایبری در سیستم های تولید سایبر فیزیکی

چکیده انگلیسی

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.