A novel parallel random number generator for wireless medical security applications

Weiyang Liu, N. Wu
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Abstract

A novel parallel random number generator (RNG) based on two dimensions feedback shift register (2-DFSR), genetic algorithm (GA) and cellular automaton (CA) algorithms is proposed for wireless medical security applications. The measurement results demonstrated that the RNG can successfully pass the NIST 800-22 statistical test suite. The highest bit rate is 16 Mbps. The typical power consumption is 61.81 µW. Its energy efficiency is 3.86 pJ/bit.
一种新型的无线医疗安全并行随机数发生器
提出了一种基于二维反馈移位寄存器(2-DFSR)、遗传算法(GA)和元胞自动机(CA)算法的无线医疗安全并行随机数发生器(RNG)。测试结果表明,该RNG能够顺利通过NIST 800-22统计测试套件。最高比特率为16mbps。典型功耗为61.81µW。其能源效率为3.86 pJ/bit。
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