article · Applied Mechanics and Materials · 2013
Fast Elliptic Curve Point Multiplication Algorithm Optimization
Hai Bin Zhang, Xiao Ping Ji, Bo Wu, Guang Yu Li
Cited by 3Abstract and details only
Abstract
Scalar point multiplication operation on elliptic curve is the most expensive part of the elliptic curve cryptosystem, also has always been the hot spot of the research. Recoding the positive integer and reducing the amount of inversion in the operation are the two main ideas. In this article, we use the balanced ternary form to recode the positive integer, at the same time, improve the part of calculation way of, reducing the amount of inversion, decreasing operation cost, and improving operation efficiency
Cite this paper
Bin Zhang, H., Ji, X. P., Wu, B., & Li, G. Y. (2013). Fast Elliptic Curve Point Multiplication Algorithm Optimization. Applied Mechanics and Materials, 441, 1044–1048. https://doi.org/10.4028/www.scientific.net/amm.441.1044
Bin Zhang, Hai, et al. “Fast Elliptic Curve Point Multiplication Algorithm Optimization.” Applied Mechanics and Materials, vol. 441, 2013, pp. 1044–48, https://doi.org/10.4028/www.scientific.net/amm.441.1044.
Bin Zhang, Hai, Xiao Ping Ji, Bo Wu, and Guang Yu Li. 2013. “Fast Elliptic Curve Point Multiplication Algorithm Optimization.” Applied Mechanics and Materials 441: 1044–48. https://doi.org/10.4028/www.scientific.net/amm.441.1044.
Bin Zhang, H. et al. (2013) ‘Fast Elliptic Curve Point Multiplication Algorithm Optimization’, Applied Mechanics and Materials, 441, pp. 1044–1048. Available at: https://doi.org/10.4028/www.scientific.net/amm.441.1044.
@article{binzhang2013fast,
title = {{Fast Elliptic Curve Point Multiplication Algorithm Optimization}},
author = {Bin Zhang, Hai and Ji, Xiao Ping and Wu, Bo and Li, Guang Yu},
journal = {Applied Mechanics and Materials},
volume = {441},
pages = {1044--1048},
year = {2013},
doi = {10.4028/www.scientific.net/amm.441.1044}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.