Break-Resilient Codes for Forensic 3D Fingerprinting
Canran Wang, Jin Sima, Netanel Raviv · 2024
3D printing brings about a revolution in con-sumption and distribution of goods, but poses a significant risk to public safety. Any individual with internet access and a commodity printer can now produce untraceable firearms, keys, and dangerous counterfeit products. To aid government authorities in combating these new security threats, objects are often tagged with identifying information. This information, also known as fingerprints, is written into the object using various bit embedding techniques, such as varying the width of the molten thermoplastic layers. Yet, due to the adversarial nature of the problem, it is important to devise tamper-resilient fingerprinting techniques, so that the fingerprint could be extracted even if the object was damaged. This paper focuses on a special type of adversarial tampering, where the adversary breaks the object to at most a certain number of parts. This gives rise to a new adversarial coding problem, which is formulated and investigated herein. We survey the existing technology, present an abstract problem definition, provide lower bounds for the required redundancy, and construct a code which attains it up to asymptotically small factors.