In this paper, we present the efficient computation methods of $$\beta $$ Weil pairing with the precomputation and multi-pairing techniques. We use the following two ideas to facilitate applying those techniques to $$\beta $$ Weil pairing. 1. Elimination of denominators of $$\beta $$ Weil pairing: The original $$\beta $$ Weil pairing proposed by Aranha et al. is the products of quotients of extended Miller functions. Then, we propose the method to eliminate denominators of $$\beta $$ Weil pairing. 2. Elimination of exponents of $$\beta $$ Weil pairing: The original $$\beta $$ Weil pairing has distinct exponent in each term. Then, we propose the method to eliminate exponents of the $$\beta $$ Weil pairing. Thereby, we can apply the precomputation and multi-pairing technique to $$\beta $$ Weil pairing in order to accelerate the computation. Moreover, we estimate the computational costs of the proposed methods for the BLS-48 curve with 256 bit level of security against the Kim-Barbulescu attack, proposed by Kiyomura et al. Then, we compare the results with the normal $$\beta $$ Weil pairing and the optimal ate pairing. Furthermore, we also provide implementation results.
CITATION STYLE
Kinoshita, K., & Suzuki, K. (2020). Accelerating beta weil pairing with precomputation and multi-pairing techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12231 LNCS, pp. 261–281). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58208-1_15
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