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How to Ensure Bad Quality in Metal Additive Manufacturing: In-Situ Infrared Thermography from the Security Perspective

Authors:

Andrew Slaughter,

Mark Yampolskiy,

Manyalibo Matthews,

Yuval EloviciAuthors Info & Claims

ARES '17: Proceedings of the 12th International Conference on Availability, Reliability and Security

Article No.: 78, Pages 1 - 10

https://doi.org/10.1145/3098954.3107011

Published: 29 August 2017 Publication History

Abstract

Additive Manufacturing, a.k.a. 3D Printing, is increasingly used to manufacture functional parts, including components of safety critical systems. Therefore, assuring part quality has become of paramount importance. In-situ infrared (IR) imaging systems are a promising solution to increase final build quality and minimize time-consuming and costly post processing and characterization. However, it also raises novel security concerns. We argue that, if compromised, the same in-situ quality control can be abused to sabotage manufactured parts. As a basis for our discussion, we first detail how IR thermography is used in open-loop and, experimentally, in closed-loop quality control for powder bed fusion (PBF) systems. We then identify malicious manipulations that an adversary can perform. We discuss the consequences of the manipulations on the manufactured part's quality. For selected attacks, we also provide experimental proof of the identified manipulations and their consequences.

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Cited By

Dolgavin AYampolskiy MYung MVilela JSchulmann HLi N(2024)Stop Stealing My Data: Sanitizing Stego Channels in 3D Printing Design FilesProceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy10.1145/3626232.3653276(211-220)Online publication date: 19-Jun-2024
https://dl.acm.org/doi/10.1145/3626232.3653276
Raeker-Jordan NChung JKong ZWilliams C(2024)Ensuring additive manufacturing quality and cyber–physical security via side-channel measurements and transmissionsJournal of Manufacturing Systems10.1016/j.jmsy.2024.02.00573(275-286)Online publication date: Apr-2024
https://doi.org/10.1016/j.jmsy.2024.02.005
Yampolskiy MGatlin J(2023)Data Security in Additive ManufacturingAdditive Manufacturing Design and Applications10.31399/asm.hb.v24A.a0006962(203-209)Online publication date: 30-Jun-2023
https://doi.org/10.31399/asm.hb.v24A.a0006962
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Index Terms

How to Ensure Bad Quality in Metal Additive Manufacturing: In-Situ Infrared Thermography from the Security Perspective
1. Applied computing
  1. Operations research
    1. Computer-aided manufacturing

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cover image ACM Other conferences

ARES '17: Proceedings of the 12th International Conference on Availability, Reliability and Security

August 2017

853 pages

ISBN:9781450352574

DOI:10.1145/3098954

Copyright © 2017 ACM.

© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 August 2017

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U.S. Department of Energy

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ARES '17

ARES '17: International Conference on Availability, Reliability and Security

August 29 - September 1, 2017

Reggio Calabria, Italy

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ARES '17 Paper Acceptance Rate 100 of 191 submissions, 52%;

Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Dolgavin AYampolskiy MYung MVilela JSchulmann HLi N(2024)Stop Stealing My Data: Sanitizing Stego Channels in 3D Printing Design FilesProceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy10.1145/3626232.3653276(211-220)Online publication date: 19-Jun-2024
https://dl.acm.org/doi/10.1145/3626232.3653276
Raeker-Jordan NChung JKong ZWilliams C(2024)Ensuring additive manufacturing quality and cyber–physical security via side-channel measurements and transmissionsJournal of Manufacturing Systems10.1016/j.jmsy.2024.02.00573(275-286)Online publication date: Apr-2024
https://doi.org/10.1016/j.jmsy.2024.02.005
Yampolskiy MGatlin J(2023)Data Security in Additive ManufacturingAdditive Manufacturing Design and Applications10.31399/asm.hb.v24A.a0006962(203-209)Online publication date: 30-Jun-2023
https://doi.org/10.31399/asm.hb.v24A.a0006962
Yampolskiy MBates PSeifi MShamsaei N(2022)State of Security Awareness in the Additive Manufacturing Industry: 2020 SurveyProgress in Additive Manufacturing 202110.1520/STP164420210119(192-212)Online publication date: 1-Dec-2022
https://doi.org/10.1520/STP164420210119
Zinner TParker GShamsaei NKing WYampolskiy MYampolskiy MYung MYampolskiy M(2022)Spooky Manufacturing: Probabilistic Sabotage Attack in Metal AM using Shielding Gas Flow ControlProceedings of the 2022 ACM CCS Workshop on Additive Manufacturing (3D Printing) Security10.1145/3560833.3563565(15-24)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3560833.3563565
Pearce HYanamandra KGupta NKarri R(2022)FLAW3D: A Trojan-Based Cyber Attack on the Physical Outcomes of Additive ManufacturingIEEE/ASME Transactions on Mechatronics10.1109/TMECH.2022.317971327:6(5361-5370)Online publication date: Dec-2022
https://doi.org/10.1109/TMECH.2022.3179713
Liu CTian WKan C(2022)When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products developmentJournal of Manufacturing Systems10.1016/j.jmsy.2022.04.01064(648-656)Online publication date: Jul-2022
https://doi.org/10.1016/j.jmsy.2022.04.010
Shi ZMamun AKan CTian WLiu C(2022)An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturingJournal of Intelligent Manufacturing10.1007/s10845-021-01879-934:4(1815-1831)Online publication date: 17-Jan-2022
https://doi.org/10.1007/s10845-021-01879-9
Zhang JFeng MHuang YFeng TWang WWang HZhang H(2022)Survey of 3D Printer Security Offensive and DefensiveFrontiers in Cyber Security10.1007/978-981-19-0523-0_11(163-178)Online publication date: 1-Mar-2022
https://doi.org/10.1007/978-981-19-0523-0_11
Malashkhia LSwiler LPinar AWang YYampolskiy MElovici YYung MYampolskiy M(2021)A Robust Control Scheme for Time Delay Switch AttacksProceedings of the 2021 Workshop on Additive Manufacturing (3D Printing) Security10.1145/3462223.3485621(23-30)Online publication date: 19-Nov-2021
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