Title :
Efficient Montgomery-Based Semi-Systolic Multiplier for Even-Type GNB of GF(2^m)
Author :
Wang, Zhen ; Fan, Shuqin
Author_Institution :
Dept. of Appl. Math., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
fDate :
3/1/2012 12:00:00 AM
Abstract :
Efficient finite field multiplication is crucial for implementing public key cryptosystem. To achieve this, multipliers using Gaussian normal basis have been widely explored in previous works. In this paper, based on proposed Gaussian normal basis Montgomery (GNBM) representation, a semi-systolic even-type GNBM multiplier is developed. Analysis shows that the proposed architecture saves about 57 percent space complexity and 50 percent time complexity when compared with the only existing semi-systolic even-type GNB multiplier. Moreover, due to properties of regularity and modularity, the proposed multiplier is very suitable for VLSI implementation.
Keywords :
Gaussian processes; computational complexity; public key cryptography; Gaussian normal basis Montgomery representation; Montgomery-based semi-systolic multiplier; finite field multiplication; public key cryptosystem; semi-systolic even-type GNB multiplier; space complexity; time complexity; Complexity theory; Computer architecture; Delay; Elliptic curve cryptography; Gaussian processes; Logic gates; Finite field multiplication; Gaussian normal basis; elliptic curve cryptosystem; montgomery; systolic architecture.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2010.272