scholarly journals Low-power physical random number generator using Boolean networks

2020 ◽  
Vol 37 (1) ◽  
pp. 51-56
Author(s):  
Rui YANG ◽  
Erlin HOU ◽  
Haifang LIU ◽  
Lishuang GONG ◽  
Yuncai WANG ◽  
...  
2010 ◽  
Vol 59 (1) ◽  
pp. 85-94 ◽  
Author(s):  
Wei Chen ◽  
Wenyi Che ◽  
Na Yan ◽  
Xi Tan ◽  
Hao Min

2008 ◽  
Vol 52 (2) ◽  
pp. 233-238 ◽  
Author(s):  
Sheng-hua Zhou ◽  
Wancheng Zhang ◽  
Nan-Jian Wu

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sungho Kim ◽  
Moon-Seok Kim ◽  
Yongwoo Lee ◽  
Hee-Dong Kim ◽  
Yang-Kyu Choi ◽  
...  

2020 ◽  
Vol 102 (4) ◽  
pp. 2887-2904
Author(s):  
Ngoc Nguyen ◽  
Georges Kaddoum ◽  
Fabio Pareschi ◽  
Riccardo Rovatti ◽  
Gianluca Setti

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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