Annual Computer Security Applications Conference (ACSAC) 2021

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

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, prostheses, or medical applications. We successfully evaluated Mystique on several 3D printing case studies and showed that Mystique 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.

Tuan Le
Rutgers University

Sriharsha Etigowni
Rutgers University

Sizhuang Liang
Georgia Institute of Technology

Xirui Peng
Georgia Institute of Technology

Jerry Qi
Georgia Institute of Technology

Mehdi Javanmard
Rutgers University

Saman Zonouz
Rutgers University

Raheem Beyah
Georgia Institute of Technology

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