KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
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AbstractIn 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.
CitationZidan MA, Radwan AG, Salama KN (2011) Random number generation based on digital differential chaos. 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS). doi:10.1109/MWSCAS.2011.6026266.
Conference/Event name54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011