Low-Complexity Systolic Multiplier for GF(2m) using Toeplitz Matrix-Vector Product Method

J Xie, CY Lee, PK Meher - 2019 IEEE International Symposium …, 2019 - ieeexplore.ieee.org
J Xie, CY Lee, PK Meher
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019ieeexplore.ieee.org
Low-complexity systolic multipliers for GF (2 m) are required in several high-performance
cryptographic systems. In this paper, we propose a novel design strategy to derive efficient
systolic multiplier for GF (2 m) based on Toeplitz Matrix-Vector Product (TMVP) approach.
The proposed work is carried out through two coherent interdependent stages.(i) A novel
multiplication algorithm based on TMVP method to obtain subquadratic space complexity is
proposed first.(ii) The proposed algorithm is then mapped unto to a novel and efficient …
Low-complexity systolic multipliers for GF(2 m ) are required in several high-performance cryptographic systems. In this paper, we propose a novel design strategy to derive efficient systolic multiplier for GF(2 m ) based on Toeplitz Matrix-Vector Product (TMVP) approach. The proposed work is carried out through two coherent interdependent stages. (i) A novel multiplication algorithm based on TMVP method to obtain subquadratic space complexity is proposed first. (ii) The proposed algorithm is then mapped unto to a novel and efficient architecture which is optimized further to derive a low-complexity systolic structure. The complexity analysis and comparison show that the proposed design outperforms the existing work. The proposed design can thus be used in many practical cryptosystems.
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