Design of True Random Number Generator Based on Multi-Ring Convergence Oscillator Using Short Pulse Enhanced Randomness

Ni, Tianming; Peng, Qingsong; Bian, Jingchang; Liang, Yao; Huang, Zhengfeng; Yan, Aibin; Wang, Senling; Wen, Xiaoqing

doi:10.1109/tcsi.2023.3287162

IEEE Trans. Circuits Syst. I

2023

DOI: 10.1109/tcsi.2023.3287162

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Design of True Random Number Generator Based on Multi-Ring Convergence Oscillator Using Short Pulse Enhanced Randomness

Tianming Ni

Qingsong Peng

Jingchang Bian

et al.

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Cited by 6 publications

(1 citation statement)

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“…of the TRNG are known to them. The physical phenomenon of TRNG usually comes from thermal noise [1], quantum [2], chaos [3], jitter [4,5] and so on. In usual, thermal noise is Gaussian distributed but very small in nature, which requires high gain amplifier to extract the entropy and makes them very area consuming and power hungry [6].…”

mentioning

confidence: 99%

A lightweight true random number generator based on multi‐stage sampling the current starve based ring oscillator

Cao,

Wang,

Huang

2023

Electronics Letters

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In this letter, a novel true random number generator (TRNG) with high energy‐efficient and throughput is proposed for cryptographic systems. The current starve based ring oscillator (CSRO) is biased in the subthrehold region as an entropy source. An individual ring oscillator (RO) is sampled using multiple sampling points of the CSRO working in the sub‐threshold region to obtain a multi‐channel sequence output, thereby fully exploiting the randomness of the entropy source. The proposed TRNG is implemented using a standard 40nm CMOS technology and the simulation results show that it provides high‐quality and 20.66 Mbps random sequences while only consuming 11.46 μW at 1.1 V, 25°C. In addition, the proposed TRNG passes the NIST SP 800‐22 and the NIST SP 800‐90B tests without post‐processing and outperforms the state‐of‐the‐art in terms of energy consumption per bit of the output bitstream, reaching 0.555pJ/bit.

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mentioning

confidence: 99%

A lightweight true random number generator based on multi‐stage sampling the current starve based ring oscillator

Cao,

Wang,

Huang

2023

Electronics Letters

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Multi-bit per cycle true random number generator based on XOR-XNOR ring oscillator unit

Fan,

Ran,

Yan

2024

Microelectronics Journal

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SnS2 memtransistor-based Lorenz chaotic system for true random number generation

Rehman,

Kim,

Khan

et al. 2024

Nano Energy

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Design of True Random Number Generator Based on Multi-Ring Convergence Oscillator Using Short Pulse Enhanced Randomness

Cited by 6 publications

References 23 publications

A lightweight true random number generator based on multi‐stage sampling the current starve based ring oscillator

A lightweight true random number generator based on multi‐stage sampling the current starve based ring oscillator

Multi-bit per cycle true random number generator based on XOR-XNOR ring oscillator unit

SnS2 memtransistor-based Lorenz chaotic system for true random number generation

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