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A Survey of Cybersecurity of Digital Manufacturing

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arxiv 2006.05042 v3 pith:6XPXQOKS submitted 2020-06-09 cs.CR

Priyanka Mahesh , Akash Tiwari , Chenglu Jin , Panganamala R. Kumar , A. L. Narasimha Reddy , Satish T.S. Bukkapatanam , Nikhil Gupta , Ramesh Karri This is my paper · ORCID
classification cs.CR
keywords manufacturingmachinescomponentscybersecuritydatadigitalinventorysensors
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The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, that reduces inventory and the lead-time for delivering custom, batch-of-one products based on achieving convergence of Additive, Subtractive, and Hybrid manufacturing machines, Automation and Robotic Systems, Sensors, Computing, and Communication Networks, Artificial Intelligence, and Big Data. A DM system consists of embedded electronics, sensors, actuators, control software, and inter-connectivity to enable the machines and the components within them to exchange data with other machines, components therein, the plant operators, the inventory managers, and customers. This paper presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.

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  1. Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy

    cs.CR 2024-12 conditional novelty 5.0 of 10

    A new defense-in-depth framework and taxonomy classify cyber-physical vulnerabilities in smart manufacturing across policies, cyber systems, personnel, inspection, and process monitoring.

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