Abstract
Subtractive manufacturing systems, specifically, computer numerical control machines, have revolutionized the manufacturing industry. Computer numerical control machining is the preferred method for producing finished parts due to its efficiency, speed and suitability for high-volume production. Securing computer numerical control machines is a priority. Compromises or disruptions of these machines can result in significant downtime, loss of productivity and financial loss. This study examines the vulnerabilities and risks associated with computer numerical control machines, in particular, systems utilizing the LBP16 protocol for controller-machine communications. The study reveals that an adversary can execute cyber-physical attacks such as sabotage and denial of service. The potential security threats emphasize the importance of implementing robust security measures to mitigate the cyber risks to computer numerical control machines.
Original language | English |
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Title of host publication | Critical Infrastructure Protection XVIII - 18th IFIP WG 11.10 International Conference, ICCIP 2024, Proceedings |
Editors | Jason Staggs, Sujeet Shenoi |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 65-84 |
Number of pages | 20 |
ISBN (Print) | 9783031818875 |
DOIs | |
State | Published - 2025 |
Event | 18th IFIP WG 11.10 International Conference on Critical Infrastructure Protection, ICCIP 2024 - Arlington, United States Duration: Mar 18 2024 → Mar 19 2024 |
Publication series
Name | IFIP Advances in Information and Communication Technology |
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Volume | 725 IFIPAICT |
ISSN (Print) | 1868-4238 |
ISSN (Electronic) | 1868-422X |
Conference
Conference | 18th IFIP WG 11.10 International Conference on Critical Infrastructure Protection, ICCIP 2024 |
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Country/Territory | United States |
City | Arlington |
Period | 03/18/24 → 03/19/24 |
Funding
This research was supported by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy under the Advanced Materials and Manufacturing Technologies Office (AMMTO) Award no. DE EE0009046.
Keywords
- Computer Numerical Control Machine
- Cyber-Physical Attacks
- Denial of Service
- Sabotage
- Subtractive Manufacturing