A True Random Number Generator Based on High-Speed Ag/a-Si/Pt Memristor

被引:0
|
作者
Guo, Zhenqiang [1 ]
Fang, Ziliang [1 ]
Niu, Jiangzhen [1 ]
Wang, Haiyun [1 ]
Yan, Lei [1 ]
Tong, Liang [1 ]
Zhao, Jianhui [1 ]
Yin, Saibo [1 ]
Sun, Shiqing [1 ]
Li, Feng [2 ]
Wang, Hongfang [2 ]
Chen, Jianhui [1 ]
Yan, Xiaobing [1 ]
机构
[1] Hebei Univ, Coll Phys Sci & Technol, Coll Electron & Informat Engn, Key Lab Brain Like Neuromorph Devices & Syst Hebei, Baoding 071002, Hebei, Peoples R China
[2] Yingli Energy Dev Co Ltd, Baoding 071002, Peoples R China
基金
中国国家自然科学基金;
关键词
Delays; Memristors; Switches; Generators; Films; Time-frequency analysis; Electrodes; Threshold voltage; NIST; Power demand; High switching speed; memristor; National Institute of Standards and Technology (NIST); true random number generator (TRNG); THRESHOLD SWITCHING MEMRISTOR;
D O I
10.1109/TED.2024.3454588
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The inherent variability in memristor switching behavior has been a challenge to its adoption as a next-generation general-purpose memory. However, the randomness of its switching behavior may be helpful for hardware security applications. Herein, a true random number generator (TRNG) based on a high-speed Ag/amorphous-Si/Pt threshold switching (TS) device was constructed. The device possesses a large ON-OFF ratio of about 10 $<^>{\text{5}}$ and a fast switching speed of about 30 ns. The results show that the delay time of the device decreases as the pulse amplitude or the pulse frequency increases. Using the random delay time as a random source, we built a TRNG circuit and achieved the flipping of "0" and "1" with a fast bit generation rate of 48 kb/s. The random bits generated by our TRNG pass 14 randomness tests of the National Institute of Standards and Technology (NIST) without any processing. This work paves the way for diffusive memristors in hardware security applications in the era of the Internet of Things.
引用
收藏
页码:7126 / 7130
页数:5
相关论文
共 50 条
  • [21] 16.8 Tb/s True Random Number Generator Based on Amplified Spontaneous Emission
    Cao, Guangshuo
    Zhang, Liuming
    Huang, Xinran
    Hu, Weisheng
    Yang, Xuelin
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2021, 33 (14) : 699 - 702
  • [22] Bistable Josephson Junction-Based True Random Number Generator Without Inductors
    Elmitwalli, Eslam
    Kose, Selcuk
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (04) : 1615 - 1619
  • [23] Modified Tent Map Based Design for True Random Number Generator
    Kumar, Dhirendra
    Nabi, Kasif
    Misra, Prasanna Kumar
    Goswami, Manish
    2018 IEEE 4TH INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2018), 2018, : 27 - 30
  • [24] A True Random Number Generator Based on Gait Data for the Internet of You
    Camara, Carmen
    Martin, Honorio
    Peris-Lopez, Pedro
    Entrena, Luis
    IEEE ACCESS, 2020, 8 : 71642 - 71651
  • [25] Opto-Radio Noise based True Random Number Generator
    Kumar, Dhirendra
    Jadhav, Chaitanya Dnyaneshwar
    Misra, Prasanna Kumar
    Swami, Manish Go
    2020 24TH INTERNATIONAL SYMPOSIUM ON VLSI DESIGN AND TEST (VDAT), 2020,
  • [26] A True Random Number Generator Based on Ionic Liquid Modulated Memristors
    Sun, Bai
    Ranjan, Shubham
    Zhou, Guangdong
    Guo, Tao
    Du, Cheng
    Wei, Lan
    Zhou, Y. Norman
    Wu, Yimin A.
    ACS APPLIED ELECTRONIC MATERIALS, 2021, 3 (05) : 2380 - 2388
  • [27] Bias-Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source
    Park, Jinwoo
    Kim, Hyunjoong
    Kim, Hyungjin
    ADVANCED INTELLIGENT SYSTEMS, 2024,
  • [28] Random Number Generator with Long-Range Dependence and Multifractal Behavior Based on Memristor
    Tellez, Maria
    Mejia, Johan
    Lopez, Hans
    Hernandez, Cesar
    ELECTRONICS, 2020, 9 (10) : 1 - 24
  • [29] Analysis and Improvement of True Random Number Generator Based on Autonomous Boolean Network
    Dong, Lihua
    Yang, Hui
    Zeng, Yong
    2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2017, : 243 - 247
  • [30] Low-Power True Random Number Generator Based on Randomly Distributed Carbon Nanotube Networks
    Kim, Sungho
    Kim, Moon-Seok
    Lee, Yongwoo
    Kim, Hee-Dong
    Choi, Yang-Kyu
    Choi, Sung-Jin
    IEEE ACCESS, 2021, 9 : 91341 - 91346