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  • 标题:An MMCM-based high-speed true random number generator for Xilinx FPGA
  • 本地全文:下载
  • 作者:Naoki Fujieda ; Sogo Takashima
  • 期刊名称:International Journal of Networking and Computing
  • 印刷版ISSN:2185-2847
  • 出版年度:2021
  • 卷号:11
  • 期号:2
  • 页码:154-171
  • 语种:English
  • 出版社:International Journal of Networking and Computing
  • 摘要:For a true random number generator (TRNG) on an FPGA, the use of a pair of clocking elements has an advantage of minimal usage of its logic elements. This paper presents a novel high-speed TRNG for recent Xilinx FPGAs using their clocking elements called mixed-mode clock managers (MMCMs). By following the proposed parameter selection methods, both better randomness and higher throughput of generated bitstrings can be achieved. According to our evaluation on an Artix-7 FPGA with the most promising sets of parameters, 38.2% (42 out of 110) of the sets passed AIS-31 Procedure B, which means that an appropriate parameter set can be found by ten or less trials with more than 99% probability. The average throughput of them was 2.44 Mbit/s, which was comparable to recent FPGA-based TRNGs. An initial prototype of dynamic reconfiguration of the parameters is also presented in this paper.
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