A Survey of Cybersecurity of Digital Manufacturing

Priyanka Mahesh; Akash Tiwari; Chenglu Jin; Panganamala R. Kumar; A. L.Narasimha Reddy; Satish T.S. Bukkapatanam; Nikhil Gupta; Ramesh Karri

doi:10.1109/JPROC.2020.3032074

A Survey of Cybersecurity of Digital Manufacturing

Priyanka Mahesh, Akash Tiwari, Chenglu Jin, Panganamala R. Kumar, A. L.Narasimha Reddy, Satish T.S. Bukkapatanam, Nikhil Gupta, Ramesh Karri

Research output: Contribution to journal › Review article › peer-review

Abstract

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which 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 interconnectivity 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 article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.

Original language	English (US)
Article number	9247392
Pages (from-to)	495-516
Number of pages	22
Journal	Proceedings of the IEEE
Volume	109
Issue number	4
DOIs	https://doi.org/10.1109/JPROC.2020.3032074
State	Published - Apr 2021

Keywords

Digital manufacturing (DM)

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

Access to Document

10.1109/JPROC.2020.3032074

Cite this

@article{0e6241141a4d4a0aa718618fee398a8f,

title = "A Survey of Cybersecurity of Digital Manufacturing",

abstract = "The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which 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 interconnectivity 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 article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.",

keywords = "Digital manufacturing (DM)",

author = "Priyanka Mahesh and Akash Tiwari and Chenglu Jin and Kumar, {Panganamala R.} and Reddy, {A. L.Narasimha} and Bukkapatanam, {Satish T.S.} and Nikhil Gupta and Ramesh Karri",

note = "Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

year = "2021",

month = apr,

doi = "10.1109/JPROC.2020.3032074",

language = "English (US)",

volume = "109",

pages = "495--516",

journal = "Proceedings of the IEEE",

issn = "0018-9219",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - A Survey of Cybersecurity of Digital Manufacturing

AU - Mahesh, Priyanka

AU - Tiwari, Akash

AU - Jin, Chenglu

AU - Kumar, Panganamala R.

AU - Reddy, A. L.Narasimha

AU - Bukkapatanam, Satish T.S.

AU - Gupta, Nikhil

AU - Karri, Ramesh

PY - 2021/4

Y1 - 2021/4

N2 - The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which 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 interconnectivity 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 article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.

AB - The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which 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 interconnectivity 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 article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.

KW - Digital manufacturing (DM)

UR - http://www.scopus.com/inward/record.url?scp=85098748555&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098748555&partnerID=8YFLogxK

U2 - 10.1109/JPROC.2020.3032074

DO - 10.1109/JPROC.2020.3032074

M3 - Review article

AN - SCOPUS:85098748555

SN - 0018-9219

VL - 109

SP - 495

EP - 516

JO - Proceedings of the IEEE

JF - Proceedings of the IEEE

IS - 4

M1 - 9247392

ER -

A Survey of Cybersecurity of Digital Manufacturing

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this