4.8 Article

Self-Powered Random Number Generator Based on Coupled Triboelectric and Electrostatic Induction Effects at the Liquid-Dielectric Interface

期刊

ACS NANO
卷 10, 期 12, 页码 11434-11441

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.6b07030

关键词

triboelectric nanogenerator; self-powered; random number generator; true random numbers

资金

  1. NSFC [51472056, 51503108]
  2. National Key R&D Project from Minister of Science and Technology, China [2016YFA0202703, 2016YFA0202704]
  3. thousands talents program for pioneer researcher and his innovation team, China
  4. Recruitment Program of Global Youth Experts, China

向作者/读者索取更多资源

Modern cryptography increasingly employs random numbers generated from physical sources in lieu of conventional software-based pseudorandom numbers, primarily owing to the great demand of unpredictable, indecipherable cryptographic keys from true random numbers for information security. Thus, far, the sole demonstration of true random numbers has been generated through thermal noise and/or quantum effects, which suffers from expensive and complex equipment. In this paper, we demonstrate a method for self-powered creation of true random numbers by using triboelectric technology to collect random signals from nature. This random number generator based on coupled triboelectric and electrostatic induction effects at the liquid dielectric interface includes an elaborately designed triboelectric generator (TENG) with an irregular grating structure, an electronic optical device, and an optical electronic device. The random characteristics of raindrops are harvested through TENG and consequently transformed and converted by electronic optical device and an optical electronic device with a nonlinear characteristic. The cooperation of the mechanical, electrical, and optical signals ensures that the generator possesses complex nonlinear input output behavior and contributes to increased randomness. The random number sequences are deduced from final electrical signals received by an optical electronic device using a familiar algorithm. These obtained random number sequences exhibit good statistical characteristics, unpredictability, and unrepeatability. Our study supplies a simple, practical, and effective method to generate true random numbers, which can be widely used in cryptographic protocols, digital signatures, authentication, identification, and other information security fields.

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