Tedeschi, S., Mehnen, J., Tapoglou, N. orcid.org/0000-0001-9126-5407 et al. (1 more author) (2017) Secure IoT devices for the maintenance of machine tools. In: Rajkumar, R., Tomiyama, T., Tiwari, A., Tracht, K., Shehab, E., Mehnen, J. and Tapoglou, N., (eds.) Procedia CIRP. 5th International Conference in Through-life Engineering Services, 01-02 Nov 2016, Cranfield University, UK. Elsevier , pp. 150-155.
Abstract
Through the Internet of Things (IoT) interaction between objects becomes possible in a way we have never seen before. With the advent of IoT and its introduction into almost all aspects of life, safety and security of IoT devices has to be considered for their whole life cycle. This concerns not only the large amounts of data that needs to be exchanged securely but also the design of the hardware of the devices themselves. Security has to be designed right from the start into IoT devices rather than added on later. This paper will introduce a global strategy for secure Design for IoT which includes:Safe solutions for environments with rich informationGuarantee that the devices are functioning as intended by the manufacturer and are not damagedLife cycle security across devices, networks and data centersSupport for industry standards and interoperability of devicesAbility to solve the challenges of the information linkSecure Clouds for traditional systems. This paper lays the foundation for the creation of a safe remote monitoring system for machine tools through IoT devices and analyses the critical issues focusing on the manufacturing environment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Remote Maintenance; Machine Tool; Secure Communications; Remote Monitoring;IoT |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Mar 2019 12:23 |
Last Modified: | 25 Mar 2019 12:23 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2016.10.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141980 |