scholarly journals Design of high-throughput and low-power true random number generator utilizing perpendicularly magnetized voltage-controlled magnetic tunnel junction

AIP Advances ◽  
2017 ◽  
Vol 7 (5) ◽  
pp. 055934 ◽  
Author(s):  
Hochul Lee ◽  
Farbod Ebrahimi ◽  
Pedram Khalili Amiri ◽  
Kang L. Wang
Keyword(s):  
Low Power ◽  
High Throughput ◽  
Tunnel Junction ◽  
Random Number ◽  
Random Number Generator ◽  
Magnetic Tunnel Junction ◽  
Number Generator ◽  
True Random Number Generator

High-Throughput/Low-Energy MTJ-Based True Random Number Generator Using a Multi-Voltage/Current Converter

2020 ◽  
Vol 28 (10) ◽  
pp. 2171-2181
Author(s):  
Naoya Onizawa ◽  
Shogo Mukaida ◽  
Akira Tamakoshi ◽  
Hitoshi Yamagata ◽  
Hiroyuki Fujita ◽  
...  
Keyword(s):  
High Throughput ◽  
Random Number ◽  
Random Number Generator ◽  
Low Energy ◽  
Number Generator ◽  
True Random Number Generator ◽  
Current Converter

scholarly journals PUFKEY: A High-Security and High-Throughput Hardware True Random Number Generator for Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 26251-26266 ◽  
Author(s):  
Dongfang Li ◽  
Zhaojun Lu ◽  
Xuecheng Zou ◽  
Zhenglin Liu
Keyword(s):  
Sensor Networks ◽  
High Throughput ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
True Random Number Generator ◽  
High Security

scholarly journals Low-power true random number generator based on randomly distributed carbon nanotube networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sungho Kim ◽  
Moon-Seok Kim ◽  
Yongwoo Lee ◽  
Hee-Dong Kim ◽  
Yang-Kyu Choi ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Low Power ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
True Random Number Generator ◽  
Carbon Nanotube Networks

scholarly journals A fully CMOS true random number generator based on hidden attractor hyperchaotic system

2020 ◽  
Vol 102 (4) ◽  
pp. 2887-2904
Author(s):  
Ngoc Nguyen ◽  
Georges Kaddoum ◽  
Fabio Pareschi ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Low Power ◽  
Random Number ◽  
Random Number Generator ◽  
Cmos Technology ◽  
Sampling Frequency ◽  
Hyperchaotic System ◽  
Number Generator ◽  
Power Devices ◽  
True Random Number Generator ◽  
Randomness Test

AbstractLow-power devices used in Internet-of-things networks have been short of security due to the high power consumption of random number generators. This paper presents a low-power hyperchaos-based true random number generator, which is highly recommended for secure communications. The proposed system, which is based on a four-dimensional chaotic system with hidden attractors and oscillators, exhibits rich dynamics. Numerical analysis is provided to verify the dynamic characteristics of the proposed system. A fully customized circuit is deployed using 130 nm CMOS technology to enable integration into low-power devices. Four output signals are used to seed a SHIFT-XOR-based chaotic data post-processing to generate random bit output. The chip prototype was simulated and tested at 100 MHz sampling frequency. The hyperchaotic circuit consumes a maximum of 980 $$\upmu $$ μ W in generating chaotic signals while dissipates a static current of 623 $$\upmu $$ μ A. Moreover, the proposed system provides ready-to-use binary random bit sequences which have passed the well-known statistical randomness test suite NIST SP800-22. The proposed novel system design and its circuit implementation provide a best energy efficiency of 4.37 pJ/b at a maximum sampling frequency of 100 MHz.

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