Comment on Security researchers identify "fingerprints" in 3D printed objects that can be used to trace their manufacturing

Security researchers identify "fingerprints" in 3D printed objects that can be used to trace their manufacturing

In PrinTracker: Fingerprinting 3D Printers using Commodity Scanners (Scihub mirror), a paper to be presented at the ACM SIGSAC Conference on Computer and Communications Security conference in Toronto this month, a group of U Buffalo and Northeastern researchers present a model for uniquely identifying which 3D printer produced a given manufactured object, which may allow for forensic investigators to associate counterfeit goods, illegal guns, and other printed objects with the device that manufactured them. The technique uses "slight imperfections" in infill created by the "printer's model type, filament, nozzle size and other factors" to uniquely identify a printer's output.

 

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