• DocumentCode
    983461
  • Title

    A Robust Random Number Generator Based on a Differential Current-Mode Chaos

  • Author

    Katz, Oded ; Ramon, Dan A. ; Wagner, Israel A.

  • Author_Institution
    IBM Haifa Labs., Haifa
  • Volume
    16
  • Issue
    12
  • fYear
    2008
  • Firstpage
    1677
  • Lastpage
    1686
  • Abstract
    This paper demonstrates a differential current-mode chaos-based circuit used to generate random number sequences, which was implemented on 90-nm CMOS-SOI technology. The proposed design is more suitable for circuit implementation of a chaotic map, and diminishes non-idealities such as asymmetry, offset and low slope values. The differential design also exhibits superior robustness to supply voltage, temperature, and process variations. Behavioral and SPICE simulations are used to show the advantages of the differential chaos circuit in comparison to a single ended version. Furthermore, to validate that the circuit can serve as a white noise generator, a statistical random number generator test, as suggested by the Federal Information Processing Standard (FIPS), was conducted on the simulation results and verified on the hardware. The results of the test demonstrated that the circuit functions with very high robustness.
  • Keywords
    CMOS integrated circuits; chaos; current-mode circuits; random number generation; silicon-on-insulator; CMOS-SOI technology; SPICE simulations; behavioral simulations; chaos-based circuit; differential current-mode chaos; federal information processing standard; random number generator; size 90 nm; white noise generator; CMOS technology; Chaos; Circuit simulation; Circuit testing; Noise robustness; Random number generation; SPICE; Temperature; Voltage; White noise; Chaos; current mode; random number generator (RNG);
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2008.2001731
  • Filename
    4668639