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Physical Logic Bombs in 3D Printers via Emerging 4D Techniques

Published: 06 December 2021 Publication History

Abstract

Rapid prototyping makes additive manufacturing (or 3D printing) useful in critical application domains such as aerospace, automotive, and medical. The rapid expansion of these applications should prompt the examination of the underlying security of 3D printed objects. In this paper, we present Mystique, a novel class of stealthy attacks on printed objects that leverage the fourth dimension of emerging 4D printing technology to introduce embedded logic bombs through manufacturing process manipulation. Mystique enables visually benign objects to behave maliciously upon the activation of the logic bomb during operation. It leverages the manufacturing process to embed a physical logic bomb that can be triggered with specific stimuli to change the physical and mechanical properties of the printed objects. These changes in properties can potentially cause catastrophic operational failures when the objects are used in critical applications such as drones, prosthesis, or medical applications.
We successfully evaluated Mystique on several 3D printing case studies and showed thatMystique can evade prior countermeasures. To address this, we propose two mitigation strategies to defend against Mystique. The first solution focuses on detecting the change of materials such as filament diameters and composition before printing. A dielectric sensor circuit is designed to quantify filament diameters and concentration composition changes. The dielectric sensor can detect a change of 0.1mm in filament diameters and a change of 10% in concentration composition. The second solution attempts to detect 4D attacks by examining the printed object using imaging techniques. To be specific, we performed data-driven classification on high resolution CT images of printed objects. This detection has an accuracy of 94.6% in identifying 4D attacks in a single printing layer.

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  • (2024)Detecting Cyber-Attacks Against Cyber-Physical Manufacturing System: A Machining Process Invariant ApproachIEEE Internet of Things Journal10.1109/JIOT.2024.335879811:10(17602-17614)Online publication date: 15-May-2024
  • (2023)Material-level countermeasures for securing microfluidic biochipsLab on a Chip10.1039/D3LC00335C23:19(4213-4231)Online publication date: 2023
  • (2022)4D Printing of Freestanding Liquid Crystal Elastomers via Hybrid Additive ManufacturingAdvanced Materials10.1002/adma.20220489034:39Online publication date: 29-Aug-2022

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cover image ACM Other conferences
ACSAC '21: Proceedings of the 37th Annual Computer Security Applications Conference
December 2021
1077 pages
ISBN:9781450385794
DOI:10.1145/3485832
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Published: 06 December 2021

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  • (2024)Detecting Cyber-Attacks Against Cyber-Physical Manufacturing System: A Machining Process Invariant ApproachIEEE Internet of Things Journal10.1109/JIOT.2024.335879811:10(17602-17614)Online publication date: 15-May-2024
  • (2023)Material-level countermeasures for securing microfluidic biochipsLab on a Chip10.1039/D3LC00335C23:19(4213-4231)Online publication date: 2023
  • (2022)4D Printing of Freestanding Liquid Crystal Elastomers via Hybrid Additive ManufacturingAdvanced Materials10.1002/adma.20220489034:39Online publication date: 29-Aug-2022

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