USENIX Security2023Top-tier venue
XCheck: Verifying Integrity of 3D Printed Patient-Specific Devices via Computing Tomography
Zhiyuan Yu, Yuanhaur Chang, Shixuan Zhai, Nicholas Deily, Tao Ju, XiaoFeng Wang, Uday Jammalamadaka, Ning Zhang
Abstract
3D printing is bringing revolutionary changes to the field of medicine, with applications ranging from hearing aids to regrowing organs. As our society increasingly relies on this technology to save lives, the security of these systems is a growing concern. However, existing defense approaches that leverage side channels may require domain knowledge from computer security to fully understand the impact of the attack. To bridge the gap, we propose XCheck, which leverages medical imaging to verify the integrity of the printed patientspecific device (PSD). XCheck follows a defense-in-depth approach and directly compares the computed tomography (CT) scan of the printed device to its original design. XCheck utilizes a voxel-based approach to build multiple layers of defense involving both 3D geometric verification and multivariate material analysis. To further enhance usability, XCheck also provides an adjustable visualization scheme that allows practitioners' inspection of the printed object with varying tolerance thresholds to meet the needs of different applications. We evaluated the system with 47 PSDs representing different medical applications to validate the efficacy.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext c3f104d9-cb3e-4c8a-a71a-b5f25b9d4cceCited by top-tier papers4
- One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-ChannelsTwisha Chattopadhyay, Fabricio Ceschin, Marco E. Garza, Dymytriy Zyunkin et al.CCS 2025 · 1 citation
- Secure Information Embedding in Forensic 3D FingerprintingCanran Wang, Jinwen Wang, Mi Zhou, Vinh Pham et al.USENIX Security 2025
- Security Implications of Malicious G-Codes in 3D PrintingJost Rossel, Vladislav Mladenov, Nico Wördenweber, Juraj SomorovskyUSENIX Security 2025
- SoK: Towards a Unified Approach to Applied Replicability for Computer SecurityDaniel Olszewski, Tyler Tucker, Kevin R. B. Butler, Patrick TraynorUSENIX Security 2025
Builds on3
- CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep LearningYisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval EloviciUSENIX Security 2019 · 223 citations
- See No Evil, Hear No Evil, Feel No Evil, Print No Evil? Malicious Fill Patterns Detection in Additive ManufacturingChristian Bayens, Tuan Le, Luis Garcia, Raheem A. Beyah et al.USENIX Security 2017 · 53 citations
- Hiding My Real Self! Protecting Intellectual Property in Additive Manufacturing Systems Against Optical Side-Channel AttacksSizhuang Liang, Saman A. Zonouz, Raheem BeyahNDSS 2022
Related papers
- SI3DP: Source Identification Challenges and Benchmark for Consumer-Level 3D Printer ForensicsBo Seok Shim, Yoo Seung Shin, Seong-Wook Park, Jong-Uk HouACM MM 2021 · 4 citations
- Leave Your Phone at the Door: Side Channels that Reveal Factory Floor SecretsAvesta Hojjati, Anku Adhikari, Katarina Struckmann, Edward Chou et al.CCS 2016 · 78 citations
- PrinTracker: Fingerprinting 3D Printers using Commodity ScannersZhengxiong Li, Aditya Singh Rathore, Chen Song, Sheng Wei et al.CCS 2018 · 48 citations
- X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item DetectionAishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang et al.USENIX Security 2023
- My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D PrintersChen Song, Feng Lin, Zhongjie Ba, Kui Ren et al.CCS 2016 · 122 citations
