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Silicon Flash > Blog > Innovations > 3D Printing’s Unique Fingerprints: A Game-Changer for Foiling Adversaries
Innovations

3D Printing’s Unique Fingerprints: A Game-Changer for Foiling Adversaries

Published August 19, 2025 By Juwan Chacko
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3D Printing’s Unique Fingerprints: A Game-Changer for Foiling Adversaries
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3D printing has revolutionized the way we create objects, from custom tools to replacement parts. However, this technology has also been misused to produce untraceable firearms like ghost guns. These ghost guns have been linked to criminal activities, such as the tragic killing of UnitedHealthcare CEO Brian Thompson in late 2024.


An example of a broken ghost gun. Credit: Raviv lab

Netanel Raviv, an assistant professor at Washington University in St. Louis, has led a team to develop a groundbreaking method for embedding unique fingerprints in 3D-printed objects. These embedded fingerprints can withstand tampering or breakage, providing crucial forensic information such as the identity of the printer, ownership details, and the time and location of printing.

The innovative research will be presented at the USENIX Security Symposium in August 2025. The team’s framework, Secure Information Embedding and Extraction (SIDE), utilizes robust mathematical techniques and security mechanisms to ensure the integrity of embedded codes in 3D-printed items, even in the face of adversarial attacks.

Unique fingerprints in 3D printing may foil adversaries
Netanel Raviv and members of his lab have developed a way to create an embedded fingerprint in 3D-printed parts that would withstand the item being broken, allowing authorities to gain information for forensic investigation. Credit: Raviv lab

Raviv’s pioneering work in embedding secure information in 3D printing not only enhances forensic investigations but also raises the bar for protecting public safety against the misuse of this technology. The SIDE framework provides a formidable defense against malicious tampering, requiring a high level of expertise from potential adversaries to evade detection post-crime.

More information:
Canran Wang et al, Secure Information Embedding in Forensic 3D Fingerprinting, arXiv (2024). DOI: 10.48550/arxiv.2403.04918

Journal information:
arXiv




Provided by Washington University in St. Louis




See also  Empowering Agentic Workforces: CrowdStrike's Strategy to Stay Ahead of AI-Driven Adversaries
TAGGED: Adversaries, Fingerprints, Foiling, GameChanger, Printings, Unique
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