VLSI Architectures for Computing Multiplications and Inverses in GF(2m)
IEEE Transactions on Computers
Introduction to finite fields and their applications
Introduction to finite fields and their applications
An Algorithm to Design Finite Field Multipliers Using a Self-Dual Normal Basis
IEEE Transactions on Computers
Bit serial multiplication in finite fields
SIAM Journal on Discrete Mathematics
Multiplexer-Based Array Multipliers
IEEE Transactions on Computers
Efficient Normal Basis Multipliers in Composite Fields
IEEE Transactions on Computers
IEEE Transactions on Computers
A Systolic Power-Sum Circuit for GF(2/sup m/)
IEEE Transactions on Computers
GF(2m) Multiplication and Division Over the Dual Basis
IEEE Transactions on Computers
Low-Complexity Bit-Parallel Systolic Montgomery Multipliers for Special Classes of GF(2^m)
IEEE Transactions on Computers
Systolic Multipliers for Finite Fields GF(2m)
IEEE Transactions on Computers
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Recently, cryptographic applications based on finite fields have attracted much attention. The most demanding finite field arithmetic operation is multiplication. This investigation proposes a new multiplication algorithm over GF(2m) using the dual basis representation. Based on the proposed algorithm, a parallel-in parallel-out systolic multiplier is presented. The architecture is optimized in order to minimize the silicon covered area (transistor count). The experimental results reveal that the proposed bit-parallel multiplier saves about 65% space complexity and 33% time complexity as compared to the traditional multipliers for a general polynomial and dual basis of GF(2m).