A flexible and stretchable bionic true random number generator

Yongbiao Wan, Kun Chen, Feng Huang, Pidong Wang, Xiao Leng, Dong Li, Jianbin Kang, Zhiguang Qiu*, Yao Yao*

*Corresponding author for this work

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Abstract

The volume of securely encrypted data transmission increases continuously in modern society with all things connected. Towards this end, true random numbers generated from physical sources are highly required for guaranteeing security of encryption and decryption schemes for exchanging sensitive information. However, majority of true random number generators (TRNGs) are mechanically rigid, and thus cannot be compatibly integrated with some specific flexible platforms. Herein, we present a flexible and stretchable bionic TRNG inspired by the uniqueness and randomness of biological architectures. The flexible TRNG film is molded from the surface microstructures of natural plants (e.g., ginkgo leaf) via a simple, low-cost, and environmentally friendly manufacturing process. In our proof-of-principle experiment, the TRNG exhibits a fast generation speed of up to 1.04 Gbit/s, in which random numbers are fully extracted from laser speckle patterns with a high extraction rate of 72%. Significantly, the resulting random bit streams successfully pass all randomness test suites including NIST, TestU01, and DIEHARDER. Even after 10,000 times cyclic stretching or bending tests, or during temperature shock (−25–80 °C), the bionic TRNG still reveals robust mechanical reliability and thermal stability. Such a flexible TRNG shows a promising potential in information security of emerging flexible networked electronics. [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)4448-4456
Number of pages9
JournalNano Research
Volume15
Issue number5
DOIs
Publication statusPublished - May 2022
Externally publishedYes

Keywords

  • bionic microstructure
  • flexible electronics
  • information security
  • polydimethylsiloxane (PDMS)
  • random number generator

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Wan, Y., Chen, K., Huang, F., Wang, P., Leng, X., Li, D., Kang, J., Qiu, Z., & Yao, Y. (2022). A flexible and stretchable bionic true random number generator. Nano Research, 15(5), 4448-4456. https://doi.org/10.1007/s12274-022-4109-9