A Survey of Cybersecurity of Digital Manufacturing

Fuente: arXiv
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Auteurs principaux: Mahesh, Priyanka, Tiwari, Akash, Jin, Chenglu, Kumar, Panganamala R., Reddy, A. L. Narasimha, Bukkapatanam, Satish T. S., Gupta, Nikhil, Karri, Ramesh
Format: Preprint
Publié: 2020
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author Mahesh, Priyanka
Tiwari, Akash
Jin, Chenglu
Kumar, Panganamala R.
Reddy, A. L. Narasimha
Bukkapatanam, Satish T. S.
Gupta, Nikhil
Karri, Ramesh
author_facet Mahesh, Priyanka
Tiwari, Akash
Jin, Chenglu
Kumar, Panganamala R.
Reddy, A. L. Narasimha
Bukkapatanam, Satish T. S.
Gupta, Nikhil
Karri, Ramesh
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2006_05042
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle A Survey of Cybersecurity of Digital Manufacturing
Mahesh, Priyanka
Tiwari, Akash
Jin, Chenglu
Kumar, Panganamala R.
Reddy, A. L. Narasimha
Bukkapatanam, Satish T. S.
Gupta, Nikhil
Karri, Ramesh
Cryptography and Security
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.
title A Survey of Cybersecurity of Digital Manufacturing
topic Cryptography and Security
url https://arxiv.org/abs/2006.05042