3D Printed Objects Authentication And Source Identification Based On Printing Distortion

The widespread use of 3D printers introduces tremendous challenges for the intellectual property(IP)protection of 3D printed products and regulation of illegal products.Therefore,it is paramount to study methods for IP protection and source identification of3 D printed objects.In this paper,research background of 3D printed objects authentication and source identification are first introduced.Then some related work of objects authentication and source identification are addressed.After that,some related knowledge and theory are introduced,including anti-counterfeiting,elliptic curve digital signature algorithm(ECDSA)and support vector machine(SVM).By analyzing the 3D printing process,noises introduced in the printing process are observed.Subsequently,an equipment distortion model is put forward.The main work of this paper are as follows:(1)An authentication scheme based on printing noise and digital signature is proposed.The authentication framework is composed of two processes: registration and verification.In the registration,the printing noise of an authentication mark is extracted and signed by digital signature.While in the verification,digital signature is verified and the printing noise of the mark is extracted.After that,the extracted printing noise is matched with the one acquired in the registration.Experimental results and analysis show that the proposed scheme can reliably accomplish the authentication of 3D printed objects with100% accuracy,high security and good robustness.(2)A source identification scheme for 3D printed objects based on inherent equipment distortion is proposed.With the features of the inherent equipment distortion of the 3D printers,SVM classifier is employed for the source identification of 3D printed objects.Experimental results and analysis show that it can obtain an average identification accuracy of 91.1% with 3D printed objects from 9 printers,analysis also indicates that it can achieve satisfactory robustness and reliability.The research outcomes of this paper can be applied to anti-counterfeiting and source tracing of 3D printed products,thus open up a new gate for 3D printing security protection.