Optimal normal bases in GF(pn)
Discrete Applied Mathematics
Construction and distribution problems for irreducible trinomials over finite fields
Applications of finite fields
Montgomery Multiplication in GF(2^k
Designs, Codes and Cryptography
Efficient Normal Basis Multipliers in Composite Fields
IEEE Transactions on Computers
An Efficient Optimal Normal Basis Type II Multiplier
IEEE Transactions on Computers
IEEE Transactions on Computers
Handbook of Applied Cryptography
Handbook of Applied Cryptography
GF(2m) Multiplication and Division Over the Dual Basis
IEEE Transactions on Computers
Montgomery Multiplier and Squarer in GF(2m)
CHES '00 Proceedings of the Second International Workshop on Cryptographic Hardware and Embedded Systems
ARITH '03 Proceedings of the 16th IEEE Symposium on Computer Arithmetic (ARITH-16'03)
Efficient scalable VLSI architecture for Montgomery inversion in GF(p)
Integration, the VLSI Journal
Low Complexity Word-Level Sequential Normal Basis Multipliers
IEEE Transactions on Computers
Low-Complexity Bit-Parallel Systolic Montgomery Multipliers for Special Classes of GF(2^m)
IEEE Transactions on Computers
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
CMOS Digital Integrated Circuits Analysis & Design
CMOS Digital Integrated Circuits Analysis & Design
Hi-index | 0.00 |
This work presents a novel combined circuit architecture for computing normal basis (NB) and Montgomery multiplications, which is based on a Hankel matrix approach. Analytical results reveal that the proposed multiplier has lower space complexity than existing systolic multipliers. Moreover, by using the combined circuit architecture, the proposed scalable multiplier over the composite fields is also presented. Analytical results reveal that the proposed multiplier has lower space complexity than existing systolic NB and Montgomery multipliers. Moreover, the proposed architecture is regular, modular and locally interconnectable, making it well suited for implementing VLSI.