Optimization of the random number generator based on InGaAs pi-n photodiode in a homodyne scheme using discrete wavelet analysis

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

An approach is proposed to optimize the operation of a random number generator based on discrete wavelet analysis. It is shown that controlling the contribution of the scale components of the wavelet transform to the signal can increase the degree of randomness of the generated series of numbers.

Sobre autores

M. Sibgatullin

Kazan National Research Technical University; Academy of Sciences of the Republic of Tatarstan; Kazan (Volga Region) Federal University

Autor responsável pela correspondência
Email: sibmans@mail.ru
Russia, 420111, Kazan; Russia, 420111, Kazan; Russia, 420008, Kazan

L. Gilyazov

Kazan National Research Technical University

Email: sibmans@mail.ru
Russia, 420111, Kazan

D. Mavkov

Kazan National Research Technical University

Email: sibmans@mail.ru
Russia, 420111, Kazan

N. Arslanov

Kazan National Research Technical University

Email: sibmans@mail.ru
Russia, 420111, Kazan

Bibliografia

  1. Petura O. True random number generators for cryptography: Design, securing and evaluation. PhD thesis. Universite de Lyon, 2019. 145 p.
  2. Балыгин К.А., Зайцев В.И., Климов А.Н. и др. // ЖЭТФ. 2018. Т. 153. № 6. С. 879; Balygin K.A., Zaitsev V.I., Klimov A.N. et al. // JETP. 2018. V. 126. No. 6. P. 728.
  3. Петров В.М., Шамрай А.В., Ильичев И.В. и др. // Фотоника. 2021. Т. 15. № 1. С. 70; Petrov V.M., Shamray A.V., Ilyichev I.V. et al. // Photonics. Russ. 2021. V. 15. No. 1. P. 70.
  4. Пикуза М.О. // Докл. БГУИР. 2022. Т. 20. № 7. С. 43.
  5. Jacak M., Jóźwiak P., Niemczuk J, Jacak J. // Sci. Reports. 2021. V. 11. Art. No. 16108.
  6. Bassham L., Rukhin A., Soto J. et al. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg: National Institute of Standards and Technology, 2010. 131 p.
  7. Павлов А.В. // в кн.: Квантовые и оптические методы обработки информации и вычислений. Т. 1. Санкт-Петербург: Университет ИТМО, 2021. С. 90.
  8. Ma X., Yuan X., Cao Z. et al. // Quant. Inform. 2016. No. 2. Art. No. 16021.
  9. Jennewein T., Achleitner U., Weihs G. et al. // Rev. Sci. Instrum. 2000. No. 71. P. 1675.
  10. Московский С.Б., Сергеев А.Н., Сидорова Е.И., Марудов А.А. // Вестн. МИФИ. 2021. Т. 10. № 1. С. 77.
  11. Kralj L., Lenasi H. // Front Physiol. 2022. No. 13. Art. No. 1076445.
  12. Mallat S. A wavelet tour of signal processing. N.Y.: Academic Press, 1999. 240 p.
  13. Chandrasekaran S., Poomalai S., Saminathan B. et al. // Meteorol. Appl. 2019. V. 26. No. 3. P. 511.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2.

Baixar (91KB)
3.

Baixar (717KB)
4.

Baixar (76KB)
5.

Baixar (116KB)

Declaração de direitos autorais © М.Э. Сибгатуллин, Л.Р. Гилязов, Д.А. Мавков, Н.М. Арсланов, 2023