王兴晟

个人信息Personal Information

教授   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:集成电路学院

学历:研究生(博士)毕业

学位:哲学博士学位

毕业院校:格拉斯哥大学

学科:微电子学与固体电子学

论文成果

当前位置: Chinese homepage >> 科学研究 >> 论文成果

High-Entropy True Random Number Generator based on Memristor Reset Switching

点击次数:

论文类型:期刊论文

第一作者:阳帆,王毅,王成旭

通讯作者:王兴晟

合写作者:马颖昊,缪向水

发表刊物:IEEE Electron Device Letters

收录刊物:SCI、EI

所属单位:华中科技大学

学科门类:工学

一级学科:电子科学与技术

文献类型:J

卷号:43

期号:9

页面范围:1459-1462

ISSN号:0741-3106

关键字:entropy source, memristor, reset process, TRNG circuit

DOI码:10.1109/LED.2022.3195347

发表时间:2022-08-01

影响因子:4.816

摘要:Aside from storing data, memristors can also be used as an entropy source, typically by utilizing the random characteristics of the high resistance state (HRS) or set/reset time delay (TD) of memristors. However, obtaining a reliable high-entropy source remains difficult. In this letter, we designed a novel random number generator (TRNG) circuit that takes full advantage of the memristor's randomness of reset switching, combining the HRS and TD entropies to achieve higher entropy. The entire random characteristic is derived from two temporal processes: the charging and discharging of a capacitor connected to the memristor. Experiments and simulations illustrate the function and advantages of the TRNG circuit, and a min-entropy of 0.9989 is attained, which is higher and more robust than two independent sources, and which can be further enhanced by the device design itself.

发布期刊链接:https://ieeexplore.ieee.org/document/9845418