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Efficient hardware implementation of finite field arithmetic AB + C for Binary ring-LWE based post-quantum cryptography

dc.contributor.authorXie, Jiafeng
dc.contributor.authorHe, Pengzhou
dc.contributor.authorWang, Xiaofang
dc.contributor.authorImaña Pascual, José Luis
dc.date.accessioned2023-06-22T10:48:11Z
dc.date.available2023-06-22T10:48:11Z
dc.date.issued2022-04
dc.description(c) 2022 IEEE Institute of Electrical and Electronics Engineers The work of Jiafeng Xie was supported by the NSFAward under Grants 2020625 and NIST-60NANB20D203. The work of Jose L. Imaña was supported by the Spanish MINECO and CM under Grants S2018/TCS-4423 and RTI2018-093684-B-I00.
dc.description.abstractPost-quantum cryptography (PQC) has gained significant attention from the community recently as it is proven that the existing public-key cryptosystems are vulnerable to the attacks launched from the well-developed quantum computers. The finite field arithmetic AB + C, where A and C are integer polynomials and B is a binary polynomial, is the key component for the binary Ring-learning-with-errors (BRLWE)-based encryption scheme (a low-complexity PQC suitable for emerging lightweight applications). In this paper, we propose a novel hardware implementation of the finite field arithmetic AB + C through three stages of inter-dependent efforts: (i) a rigorous mathematical formulation process is presented first; (ii) an efficient hardware architecture is then presented with detailed description; (iii) a thorough implementation has also been given along with the comparison. Overall, (i) the proposed basic structure (u = 1) outperforms the existing designs, e.g., it involves 55.9% less area-delay product (ADP) than [13] for n = 512; (ii) the proposed design also offers very efficient performance in time-complexity and can be used in many future applications.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN) /FEDER
dc.description.sponsorshipComunidad de Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/73153
dc.identifier.doi10.1109/TETC.2021.3091982
dc.identifier.issn2168-6750
dc.identifier.officialurlhttp://dx.doi.org/10.1109/TETC.2021.3091982
dc.identifier.relatedurlhttps://ieeexplore.ieee.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71695
dc.issue.number2
dc.journal.titleIEEE transactions on emerging topics in computing
dc.language.isoeng
dc.page.final1228
dc.page.initial1222
dc.publisherIEEE Institute of Electrical and Electronics Engineers
dc.relation.projectIDRTI2018-093684-B-I00
dc.relation.projectIDCABAHLA-CM (S2018/TCS-4423)
dc.rights.accessRightsopen access
dc.subject.cdu004.8
dc.subject.keywordMultipliers
dc.subject.keywordParallel
dc.subject.keywordBinary ring-learning-with-errors
dc.subject.keywordFinite field arithmetic
dc.subject.keywordFPGA platform
dc.subject.keywordHardware design
dc.subject.keywordPost-quantum cryptography
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleEfficient hardware implementation of finite field arithmetic AB + C for Binary ring-LWE based post-quantum cryptography
dc.typejournal article
dc.volume.number10
dspace.entity.typePublication
relation.isAuthorOfPublication1c42e591-4b3d-4cb4-919d-01813fa4cd36
relation.isAuthorOfPublication.latestForDiscovery1c42e591-4b3d-4cb4-919d-01813fa4cd36

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