Chaos-based true random number generators

被引：31
|
作者：
Bonilla L.L. [1 ]
Alvaro M. [1 ]
Carretero M. [1 ]
机构：
[1] Gregorio Millán Institute for Fluid Dynamics, Nanoscience and Industrial Mathematics, Universidad Carlos III de Madrid, Avenida de la Universidad 30, Leganés
来源：
Journal of Mathematics in Industry | / 7卷 / 1期
关键词：
deterministic and stochastic chaos; random bit generator; semiconductor superlattice;
D O I：
10.1186/s13362-016-0026-4
中图分类号：
学科分类号：
摘要：
Random number (bit) generators are crucial to secure communications, data transfer and storage, and electronic transactions, to carry out stochastic simulations and to many other applications. As software generated random sequences are not truly random, fast entropy sources such as quantum systems or classically chaotic systems can be viable alternatives provided they generate high-quality random sequences sufficiently fast. The discovery of spontaneous chaos in semiconductor superlattices at room temperature has produced a valuable nanotechnology option. Here we explain a mathematical model to describe spontaneous chaos in semiconductor superlattices at room temperature, solve it numerically to reveal the origin and characteristics of chaotic oscillations, and discuss the limitations of the model in view of known experiments. We also explain how to extract verified random bits from the analog chaotic signal produced by the superlattice. © 2016, Bonilla et al.
引用
收藏
相关论文
共 50 条
  • [1] Design and Synchronization of Chaos-Based True Random Number Generators and Its FPGA Implementation
    Liao, T. L.
    Wan, P. Y.
    Yan, Jun-Juh
    IEEE ACCESS, 2022, 10 : 8279 - 8286
  • [2] On the Security of Chaos Based "True" Random Number Generators
    Ergun, Salih
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2016, E99A (01): : 363 - 369
  • [3] A Survey on True Random Number Generators Based on Chaos
    Yu, Fei
    Li, Lixiang
    Tang, Qiang
    Cai, Shuo
    Song, Yun
    Xu, Quan
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2019, 2019
  • [4] A Comparative Study on the Robustness of Chaos-Based Random Number Generators
    Demir, Kaya
    Ergun, Salih
    2019 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2019), 2019, : 245 - 248
  • [5] Chaos-based random number generators - Part I: Analysis
    Stojanovski, T
    Kocarev, L
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2001, 48 (03) : 281 - 288
  • [6] Chaos-based random number generators - Part II: Practical realization
    Stojanovski, T
    Pihl, J
    Kocarev, L
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2001, 48 (03): : 382 - 385
  • [7] A technique to design high entropy chaos-based true random bit generators
    Addabbo, Tommaso
    Alioto, Massimo
    Fort, Ada
    Rocchi, Santina
    Vignoli, Valerio
    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 1183 - +
  • [8] A fast chaos-based true random number generator for cryptographic applications
    Pareschi, Fabio
    Setti, Gianluca
    Rovatti, Riccardo
    ESSCIRC 2006: PROCEEDINGS OF THE 32ND EUROPEAN SOLID-STATE CIRCUITS CONFERENCE, 2006, : 130 - +
  • [9] A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding
    Araki, Shunsuke
    Wu, Ji-Han
    Yan, Jun-Juh
    IEEE ACCESS, 2024, 12 : 24039 - 24047
  • [10] Numerical verification of chaos-based random number generators by using bootstrap method
    Ergun, Salih
    Asada, Kunihiro
    IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2011, 2 (01): : 43 - 53
12345