Designing a Scalable and Area-Efficient Hardware Accelerator Supporting Multiple PQC Schemes
Rattachement africain : kr. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This study introduces a hardware accelerator to support various Post-Quantum Cryptosystem (PQC) schemes, addressing the quantum computing threat to cryptographic security. PQCs, while more secure, also bring significant computational demands, which are especially problematic for lightweight devices. Previous hardware accelerators are typically scheme-specific, which is inefficient given the National Institute of Standards and Technology (NIST)’s multiple finalists. Our approach focuses on the shared operations among these schemes, allowing a single design to accelerate multiple candidate PQCs at the same time. This is further enhanced by allocating resources according to performance profiling results. Our compact, scalable hardware accelerator supports four of NIST PQC finalists, achieving an area efficiency of up to 81.85% compared to the current state-of-the-art multi-scheme accelerator while supporting twice as many schemes. The design demonstrates average throughput improvements ranging from 0.97× to 35.97× across the four schemes and their main operations, offering an efficient solution for implementing multiple PQC schemes within constrained hardware environments.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Designing a Scalable and Area-Efficient Hardware Accelerator Supporting Multiple PQC Schemes
- Date Crossref
- 23/08/2024
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Seoul National University Department of Electrical and Computer Engineering pays non établi dans la noticeUniversité ou école supérieure
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Gachon University Department of AI·Software pays non établi dans la noticeUniversité ou école supérieure
Department of Electrical and Computer Engineering — Seoul National University et Department of AI·Software — Gachon University.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.