摘要
真随机数发生器在硬件与信息安全领域具有广泛的应用前景。为提高真随机数发生器的吞吐率与降低硬件开销,以相互耦合的基本逻辑单元构成自治布尔网络做熵源,利用一阶高频振荡环增强网络刷新频率和多级非线性放大,从而获得高熵值混沌信号,结合DFF和XOR组成的后处理电路,设计构成真随机数发生器并在FPGA平台上实现。通过数据的采样和实时提取,然后对数据执行NIST SP800-22和SP800-90B随机性测试,并对其偏移度、自相关性及最大李雅普诺夫指数等性能进行评估。结果表明,真随机数发生器能够以600 Mbit/s的吞吐率产生熵值0.994847 bit/sample的随机数序列,而且具有低的偏移度和自相关性及较低的硬件开销。
True random number generators have broad application prospects in the fields of hardware and information security.In order to improve the throughput and reduce the hardware overhead of true random number generator,an autonomous Boolean network is constructed with coupled basic logic units as the entropy source.A first-order high-frequency oscillation loop is used to enhance the network refresh frequency and multi-level nonlinear amplification,thereby obtaining a high entropy chaotic signal.Combining a postprocessing circuit composed of DFF and XOR,a true random number generator is designed and implemented on an FPGA platform.The sampled output data is extracted using the ChipScope online tool,then NIST SP800-22 and SP800-90B randomness tests are performed on the data,and their performance such as offset,autocorrelation,and maximum Lyapunov exponent are evaluated.The results show that the proposed true random number generator can generate a random number sequence with an entropy value of 0.994847 bit/sample at a throughput rate of 600 Mbit/s,and is of low offset and no autocorrelation,and low hardware overhead.
作者
刘正文
易茂祥
杨云
孙立法
鲁迎春
梁华国
Liu Zhengwen;Yi Maoxiang;Yang Yun;Sun Lifa;Lu Yingchun;Liang Huaguo(School of Microelectronics,Hefei University of Technology,Hefei 230009,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2023年第9期102-109,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金重大科研仪器项目(62027815)资助。
关键词
真随机数发生器
熵源
自治布尔网络
混沌
吞吐率
true random number generator
entropy source
autonomous Boolean network
chaos
throughput
