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oai:recercat.cat:2445/1188382025-12-05T14:47:13Zcom_2072_1057col_2072_478821col_2072_478917

Validation of optical codes based on 3D nanostructures Carnicer González, Arturo Javidi, Bahram Seguretat informàtica Visualització tridimensional Xifratge (Informàtica) Processament òptic de dades Computer security Three-dimensional display systems Data encryption (Computer science) Optical data processing Image information encoding using random phase masks produce speckle-like noise distributions when the sample is propagated in the Fresnel domain. As a result, information cannot be accessed by simple visual inspection. Phase masks can be easily implemented in practice by attaching cello-tape to the plain-text message. Conventional 2D-phase masks can be generalized to 3D by combining glass and diffusers resulting in a more complex, physical unclonable function. In this communication, we model the behavior of a 3D phase mask using a simple approach: light is propagated trough glass using the angular spectrum of plane waves whereas the diffusor is described as a random phase mask and a blurring effect on the amplitude of the propagated wave. Using different designs for the 3D phase mask and multiple samples, we demonstrate that classification is possible using the k-nearest neighbors and random forests machine learning algorithms. 2017-12-20T16:21:15Z 2017-12-20T16:21:15Z 2017-05-10 2017-12-20T16:21:15Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.1117/12.2262417 Proceedings of SPIE, 2017, vol. 10219, p. 102190M-1-102190M-6 https://doi.org/10.1117/12.2262417 (c) Society of Photo-Optical Instrumentation Engineers (SPIE), 2017 info:eu-repo/semantics/openAccess Society of Photo-Optical Instrumentation Engineers (SPIE) Articles publicats en revistes (Física Aplicada)