A Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryption

dc.cclicenceN/Aen
dc.contributor.authorArenas, Monica P.
dc.contributor.authorBingol, Muhammed Ali
dc.contributor.authorDemirci, Huseyin
dc.contributor.authorFotiadis, Georgios
dc.contributor.authorLenzini, Gabriele
dc.date.acceptance2022-04-30
dc.date.accessioned2023-02-08T10:40:06Z
dc.date.available2023-02-08T10:40:06Z
dc.date.issued2022-10-06
dc.description.abstractSometimes fingerprint-like features are found in a material. The exciting discovery poses new challenges on how to use the features to build an object authentication protocol that could tell customers and retailers equipped with a mobile device whether a good is authentic or fake. We are exactly in this situation with Cholesteric Spherical Reflectors (CSRs), tiny spheres of liquid crystals with which we can tag or coat objects. They are being proposed as a potential game-changer material in anti-counterfeiting due to their unique optical properties. In addition to the problem of processing images and extracting the minutiƦ embedded in a CSR, one major challenge is designing cryptographically secure authentication protocols. The authentication procedure has to handle unstable input data; it has to measure the distance between some reference data stored at enrollment and noisy input provided at authentication. We propose a cryptographic authentication protocol that solves the problem, and that is secure against semi-honest and malicious adversaries. We prove that our design ensures data privacy even if enrolled data are leaked and even if servers and provers are actively curious. We implement and benchmark the protocol in Python using the Microsoft SEAL library through its Python wrapper PySEAL.en
dc.funderNo external funderen
dc.identifier.citationArenas, M.P., Bingol, M.A., Demirci, H., Fotiadis, G. and Lenzini, G. (2022) A Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryption. In: Batina, L., Daemen, J. (Eds.) Progress in Cryptology - AFRICACRYPT 2022. Lecture Notes in Computer Science, Cham: Springer, 13503. pp. 425ā€“447,en
dc.identifier.doihttps://doi.org/10.1007/978-3-031-17433-9_18
dc.identifier.isbn9783031174339
dc.identifier.isbn9783031174322
dc.identifier.urihttps://hdl.handle.net/2086/22496
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringeren
dc.researchinstituteCyber Technology Institute (CTI)en
dc.subjectAnti-counterfeitingen
dc.subjectCholesteric Spherical Reflectorsen
dc.subjectImage processingen
dc.subjectAuthenticationen
dc.subjectBiometric hashingen
dc.subjectHomomorphic encryptionen
dc.titleA Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryptionen
dc.typeConferenceen

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