期刊
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE
卷 4, 期 3, 页码 45-54出版社
UNIV INT RIOJA-UNIR
DOI: 10.9781/ijimai.2017.437
关键词
Cyber-physical attack; Computer-aided Manufacturing; Cyber-physical system; Internet of Things
资金
- National Science Foundation
- Department of Homeland Security [CNS1446303]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1446804] Funding Source: National Science Foundation
The Internet of Things (IoT) has transformed many aspects of modern manufacturing, from design to production to quality inspection. In particular, IoT and digital manufacturing technol-ogies have substantially accelerated product development-cycles and manufacturers can now create products of a complexity and precision not heretofore possible. However, new threats to supply chain security have arisen from connecting machines to the In-ternet and introducing complex IoT-based systems controlling manufacturing processes. By attacking these IoT-based manu-facturing systems and tampering with digital files, attackers can manipulate physical characteristics of parts and change the dimensions, shapes, or mechanical properties of the parts, which can result in parts that fail in the field. These defects increase manufacturing costs and allow silent problems to occur only under certain loads that can threaten safety and/or lives. To under-stand potential dangers and protect manufacturing system integrity, this paper presents two taxonomies: one for classifying cyber-physical attacks against manufacturing processes and another for quality inspection measures for counteracting these attacks. We systematically identify and classify possible cyberphysical attacks and connect the attacks with variations in manufacturing processes and quality inspection measures. Our taxonomies also provide a scheme for linking emerging IoT-based manufacturing system vulnerabilities to possible attacks and quality inspection measures.
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