The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami telah merealisasikan platform automasi reka bentuk pemecut perkakasan untuk operasi berpasangan ke atas berbilang parameter lengkung eliptik. Operasi berpasangan ialah salah satu operasi asas untuk merealisasikan penyulitan berfungsi. Walau bagaimanapun, dikenali sebagai algoritma kompleksiti-berat pengiraan. Juga kerana parameter standard masih belum dikenal pasti, kita perlu memilih parameter lengkung berdasarkan tahap keselamatan yang diperlukan dan sumber perkakasan yang berpatutan. Untuk meneroka pengoptimuman reka bentuk ini untuk setiap parameter lengkung adalah penting. Dalam penyelidikan ini, kami telah merealisasikan platform reka bentuk automatik untuk memasangkan perkakasan untuk tujuan tersebut. Hasil pengoptimuman menunjukkan hampir setara dengan reka bentuk seni terdahulu dengan tangan.
Momoko FUKUDA
The University of Tokyo
Makoto IKEDA
The University of Tokyo
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Salinan
Momoko FUKUDA, Makoto IKEDA, "Template-Based Design Optimization for Selecting Pairing-Friendly Curve Parameters" in IEICE TRANSACTIONS on Fundamentals,
vol. E107-A, no. 3, pp. 549-556, March 2024, doi: 10.1587/transfun.2023VLP0009.
Abstract: We have realized a design automation platform of hardware accelerator for pairing operation over multiple elliptic curve parameters. Pairing operation is one of the fundamental operations to realize functional encryption. However, known as a computational complexity-heavy algorithm. Also because there have been not yet identified standard parameters, we need to choose curve parameters based on the required security level and affordable hardware resources. To explore this design optimization for each curve parameter is essential. In this research, we have realized an automated design platform for pairing hardware for such purposes. Optimization results show almost equivalent to those prior-art designs by hand.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2023VLP0009/_p
Salinan
@ARTICLE{e107-a_3_549,
author={Momoko FUKUDA, Makoto IKEDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Template-Based Design Optimization for Selecting Pairing-Friendly Curve Parameters},
year={2024},
volume={E107-A},
number={3},
pages={549-556},
abstract={We have realized a design automation platform of hardware accelerator for pairing operation over multiple elliptic curve parameters. Pairing operation is one of the fundamental operations to realize functional encryption. However, known as a computational complexity-heavy algorithm. Also because there have been not yet identified standard parameters, we need to choose curve parameters based on the required security level and affordable hardware resources. To explore this design optimization for each curve parameter is essential. In this research, we have realized an automated design platform for pairing hardware for such purposes. Optimization results show almost equivalent to those prior-art designs by hand.},
keywords={},
doi={10.1587/transfun.2023VLP0009},
ISSN={1745-1337},
month={March},}
Salinan
TY - JOUR
TI - Template-Based Design Optimization for Selecting Pairing-Friendly Curve Parameters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 549
EP - 556
AU - Momoko FUKUDA
AU - Makoto IKEDA
PY - 2024
DO - 10.1587/transfun.2023VLP0009
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E107-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2024
AB - We have realized a design automation platform of hardware accelerator for pairing operation over multiple elliptic curve parameters. Pairing operation is one of the fundamental operations to realize functional encryption. However, known as a computational complexity-heavy algorithm. Also because there have been not yet identified standard parameters, we need to choose curve parameters based on the required security level and affordable hardware resources. To explore this design optimization for each curve parameter is essential. In this research, we have realized an automated design platform for pairing hardware for such purposes. Optimization results show almost equivalent to those prior-art designs by hand.
ER -