A Survey of Cybersecurity of Digital Manufacturing

June 09, 2020 · The Cartographer · 🏛 Proceedings of the IEEE

"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey of Cybersecurity of Digital Manufacturing"

Evidence collected by the PWNC Scanner

Authors Priyanka Mahesh, Akash Tiwari, Chenglu Jin, Panganamala R. Kumar, A. L. Narasimha Reddy, Satish T. S. Bukkapatanam, Nikhil Gupta, Ramesh Karri arXiv ID 2006.05042 Category cs.CR: Cryptography & Security Citations 56 Venue Proceedings of the IEEE Last Checked 1 day ago

Abstract

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.