PERFORMANCE ANALYSIS OF MULTIPLICATION AND INVERSION ALGORITHMS OVER GF(2M ) FOR CODING AND CRYPTOGRAPHIC APPLICATION
Keywords:
Cryptography, Finite Field, Multiplication, Normal Basis, Multiplicative Inverse, VLSIAbstract
Finite field arithmetic logic is central in the implementation Of Reed-Solomon codes and in some
cryptographic algorithms. There is a need for good multiplication and inversion algorithms that can be easily realized
on VLSI chips. This paper presents a novel sequential Type-I optimal normal basis multiplier in GF(2m
) with a
regular structure. The proposed multiplier is highly regular, modular, expandable and well-suited to VLSI
implementation. A new normal basis inverter based on the proposed multiplier is also presented. The proposed
inverter provides better time-area complexity than existing inverters as with large m.