Random number generation based on digital differential chaos
Mohammed Affan Zidan, Ahmed Gomaa Radwan, Khaled N. Salama · 2011
In this paper, we present a fully digital differential chaos based random number generator. The output of the digital circuit is proved to be chaotic by calculating the output time series maximum Lyapunov exponent. We introduce a new post processing technique to improve the distribution and statistical properties of the generated data. The post-processed output passes the NIST Sp. 800-22 statistical tests. The system is written in Verilog VHDL and realized on Xilinx Virtex®FPGA. The generator can fit into a very small area and have a maximum throughput of 2.1 Gb/s.