A Survey of Cybersecurity of Digital Manufacturing

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

Research output: Contribution to journal › 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)
Journal	Proceedings of the IEEE
DOIs	https://doi.org/10.1109/JPROC.2020.3032074
State	Accepted/In press - 2020

Keywords

Computer crime
Digital manufacturing (DM).
Intelligent sensors
Manufacturing
Observers
Process control
Sensor systems
Tools

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/JPROC.2020.3032074

Fingerprint Dive into the research topics of 'A Survey of Cybersecurity of Digital Manufacturing'. Together they form a unique fingerprint.

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 = "Computer crime, Digital manufacturing (DM)., Intelligent sensors, Manufacturing, Observers, Process control, Sensor systems, Tools",

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

year = "2020",

doi = "10.1109/JPROC.2020.3032074",

language = "English (US)",

journal = "Proceedings of the IEEE",

issn = "0018-9219",

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

}

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.N.

AU - Bukkapatanam, Satish T.S.

AU - Gupta, Nikhil

AU - Karri, Ramesh

PY - 2020

Y1 - 2020

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 - Computer crime

KW - Digital manufacturing (DM).

KW - Intelligent sensors

KW - Manufacturing

KW - Observers

KW - Process control

KW - Sensor systems

KW - Tools

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 - Article

AN - SCOPUS:85098748555

JO - Proceedings of the IEEE

JF - Proceedings of the IEEE

SN - 0018-9219

ER -