Understanding vulnerabilities in cyber physical production systems

Khalid, A ORCID logoORCID: https://orcid.org/0000-0001-5270-6599, Khan, ZH, Idrees, M, Kirisci, P, Ghrairi, Z, Thoben, K-D and Pannek, J, 2021. Understanding vulnerabilities in cyber physical production systems. International Journal of Computer Integrated Manufacturing. ISSN 0951-192X

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Abstract

Development of future manufacturing systems is featured with flexibility, mass customization, intelligence and context based learning to produce smart products. These production systems are characterized through networked, cooperating objects called cyber physical systems (CPSs). From the manufacturing perspective, the ability to communicate data and develop interaction between devices, manufacturing machinery, raw materials, working robots, humans and the plant environment develops the concept of cyber physical production systems (CPPS). Human-robot collaboration is a technology area that will be an integrated part of the future factory floor and the CPPS. With the involvement of human part in the automated system industrial scenarios, practical safety issues are expected to arise in the connected environment due to the use of a large number of devices, sensors, and cloud services causing complex network, IP conflicts, compromised nodes and communication issues. This all may lead to occupational safety issues on the factory floor in different ways and combinations. Overall, the system's physical vulnerability will be increased in the context of compromised connected working space and cyber-security. In this paper, the authors developed a risk assessment based on system vulnerability of a CPPS developed for a use case requirement and performed a simulated approach by launching a cyber-attack and measuring the causal effect to identify implications on human worker safety.

Item Type: Journal article
Publication Title: International Journal of Computer Integrated Manufacturing
Creators: Khalid, A., Khan, Z.H., Idrees, M., Kirisci, P., Ghrairi, Z., Thoben, K.-D. and Pannek, J.
Publisher: Taylor & Francis
Date: 28 October 2021
ISSN: 0951-192X
Identifiers:
Number
Type
10.1080/0951192X.2021.1992656
DOI
1483703
Other
Rights: © 2021 the author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 01 Nov 2021 15:30
Last Modified: 01 Nov 2021 15:30
URI: https://irep.ntu.ac.uk/id/eprint/44562

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