ARM architecture optimizations for line-rate PQC communications

dc.conference.date6-9 may 2025
dc.conference.placePisa, Italia
dc.conference.title29th International Conference on Optical Network Design and Modelling (ONDM 2025)
dc.contributor.authorAguilera, A. Cano
dc.contributor.authorMonroy, I. Tafur
dc.contributor.authorVegas Olmos, J. J.
dc.contributor.authorImaña Pascual, José Luis
dc.date.accessioned2026-04-21T18:49:28Z
dc.date.available2026-04-21T18:49:28Z
dc.date.issued2025-05-06
dc.description© Copyright 2025 Elsevier B.V.
dc.description.abstractThis paper provides an introduction to the topic of ARM architecture optimization for line-rate post-quantum cryptographic (PQC) operations. In particular, we explore ARMv8 architectures and how to leverage hash functions. As quantum computing threatens traditional public-key infrastructure (PKI), the need for efficient quantum-resistant algorithms grows. The NIST PQC standardization process has chosen (until now) ML-DSA (Crystals-Dilithium) with extendable output functions (XOFs) from the SHA3 standard, specifically SHAKE128 and SHAKE256. Many of these standards have already been included into retail systems, while silicon fabs are providing dedicated PQC accelerators for low-speed systems. This paper and its presentation broadens the scope of XOFs in the Dilithium framework by incorporating alternatives like concatenated fixed variable length hashes such as SHA256, SHA512, ASCON and AES-CTR. Our current investigations lead to substantial performance enhancements when ARMv8 acceleration is applied using single instruction - multiple data (SIMD) instructions via the NEON framework. In particular, we will discuss improvements in the KeyGeneration, Signature, and Verification steps across different security parameterizations of ML-DSA in comparison with the reference code of the standard.
dc.description.departmentDepto. de Arquitectura de Computadores y Automática
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commision
dc.description.sponsorshipMinistero de Ciencias, Innovación y Universidades (España)
dc.description.sponsorshipAgencia Estatal de Investigación
dc.description.statuspub
dc.identifier.citationA. C. Aguilera, I. T. Monroy, J. J. Vegas Olmos and J. L. Imaña, "ARM Architecture Optimizations for Line-Rate PQC Communications," 2025 International Conference on Optical Network Design and Modeling (ONDM), Pisa, Italy, 2025, pp. 1-4, doi: 10.23919/ONDM65745.2025.11029331.
dc.identifier.doi10.23919/ondm65745.2025.11029331
dc.identifier.essn2995-0686
dc.identifier.isbn978-3-903176-67-6
dc.identifier.officialurlhttps://dx.doi.org/10.23919/ondm65745.2025.11029331
dc.identifier.relatedurlhttps://ieeexplore.ieee.org/document/11029331
dc.identifier.urihttps://hdl.handle.net/20.500.14352/134946
dc.language.isoeng
dc.page.final4
dc.page.initial1
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123041OB-I00/ES/ESPECIALIZACION DE LA ARQUITECTURA DESDE LAS PERSPECTIVAS ARITMETICA Y DE MEMORIA/
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101073355/EU//
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101140087/EU//
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101097560/EU//
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.cdu530.145
dc.subject.keywordHash functions
dc.subject.keywordQuantum computing
dc.subject.keywordProgram processors
dc.subject.keywordNeon
dc.subject.keywordCodes
dc.subject.keywordSingle instruction multiple data
dc.subject.keywordComputer architecture
dc.subject.keywordSilicon
dc.subject.keywordStandards
dc.subject.keywordOptimization
dc.subject.keywordAcceleration
dc.subject.keywordData centers
dc.subject.ucmInformática (Informática)
dc.subject.ucmTeoría de los quanta
dc.subject.unesco1203 Ciencia de Los Ordenadores
dc.titleARM architecture optimizations for line-rate PQC communications
dc.typeconference paper
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication1c42e591-4b3d-4cb4-919d-01813fa4cd36
relation.isAuthorOfPublication.latestForDiscovery1c42e591-4b3d-4cb4-919d-01813fa4cd36

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