出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Random numbers play a significant role while implementing the crypto architectures on
reconfigurable hardware. Chaotic attractors are reliable sources of deterministic random
number generation due to their large keyspace capability. Chaos exhibits random perturbations
in floating-point units which is a challenge while replicating the system of equations on
hardware. The conversion of floating-point numbers to binary representation will take many
quantization possibilities which certainly affect the randomness and sensitivity to initial
conditions. This work aims to implement the chaotic Rössler attractor based Pseudo Random
Number Generation (PRNG) on FPGA through simulation and real time experimentation. This
attractor has been realized on Altera Cyclone II EP2C20F484C7 FPGA using hardware
primitives. It required 201 LUTs with a power dissipation of 78.48 mW and time duration of 4
µS to generate 32,768 random bits. The randomness of this attractor was evaluated through
entropy, correlation, bit distribution and NIST SP 800 – 22 analyses.
