Partially homomorphic framework for secure privacy-preserving ID creation

dc.contributor.authorNikola Hristov-Kalamov
dc.contributor.authorRaúl Fernández-Ruiz
dc.contributor.authorCristina Conde
dc.contributor.authorAgustín Álvarez-Marquina
dc.contributor.authorFrancisco Domínguez-Mateos
dc.contributor.authorPedro Gómez-Vilda
dc.contributor.authorDaniel Palacios-Alonso
dc.date.accessioned2025-07-30T08:52:26Z
dc.date.available2025-07-30T08:52:26Z
dc.date.issued2025-05-21
dc.description.abstractHomomorphic encryption has seen limited application in real-world settings due to its high computational costs, which often impede practical use in latency-sensitive scenarios. Addressing this challenge, this research work presents an efficient, partially homomorphic encryption framework for privacy-preserving ID creation tailored to biometric applications, such as border control or access to secure restricted facilities. The proposed solution leverages the additive homomorphic properties of Paillier and Elliptic Curve ElGamal encryption schemes to encapsulate biometric data within a secure cryptographic layer, enabling rapid verification while minimizing computation and storage demands. Paillier encryption ensures robust security with maximal accuracy, while Elliptic Curve ElGamal optimizes for minimal ciphertext sizes, both meeting rigorous ISO biometric security standards. Experimental results demonstrate that the framework achieves high accuracy with reduced memory and bandwidth requirements, with encrypted IDs as compact as 4 KiB, making it suitable for scalable deployment. This research work represents a key advancement in homomorphic encryption applications, balancing privacy and efficiency without the usual overhead, and making it feasible for real-time biometric processing. In summary, this framework offers a pioneering solution in secure biometric verification, setting a new standard for privacy-preserving applications, positioning it as a promising model for future secure identification systems.
dc.identifier.citationHristov-Kalamov N, Fernández-Ruiz R, Conde C, et al. Partially homomorphic framework for secure privacy-preserving ID creation. Integrated Computer-Aided Engineering. 2025;0(0). doi:10.1177/10692509251342680
dc.identifier.doi10.1177/10692509251342680
dc.identifier.issn1069-2509
dc.identifier.issn1875-8835
dc.identifier.urihttps://hdl.handle.net/10115/96457
dc.language.isoen_US
dc.publisherSage
dc.relation.ispartofIntegrated Computer-Aided Engineering
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccess
dc.subjectHomomorphic encryption
dc.subjectBiometric comparison
dc.subjectPaillier
dc.subjectElliptic curves
dc.subjectElGamal
dc.titlePartially homomorphic framework for secure privacy-preserving ID creation
dc.typejournal-article

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