A Survey of Cybersecurity of Digital Manufacturing
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Jun 2020.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2.
3 papers.
- 2022Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applicationscited by 11
- 2025DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllerscited by 0
- 2025ViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operationscited by 0
- 2025ViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operations13 Sep 2025
- 2025DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers29 Aug 2025
- 2022Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications21 Mar 2022