• DocumentCode
    152210
  • Title

    Design and implementation of chaos based true random number generator on FPGA

  • Author

    Koyuncu, I. ; Ozcerit, A.T. ; Pehlivan, I. ; Avaroglu, E.

  • Author_Institution
    Kontrol ve Otomasyon Teknolojisi Duzce Univ., Duzce, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    Currently, chaotic signal generators is of importance in cryptographic applications and chaotic communication systems. One of the significant field of the chaotic signal oscillators are random number generators. In this paper, an FPGA-based new true random number generator system using discrete-time chaotic signal generator is presented. The system designed incorporates the Sprott 94 G chaotic system based on an FPGA deployed with IEEE 754 standard. In order to produce random bits a quantification process has been performed on the results produced by the chaotic oscillator unit. Furthermore, the XOR method has been determined as restoring function to obtain a true random bit generator. The maximum operating frequency of FPGA-based true random number generator has been able to reach up to 399,383 MHz. The 20,000-bit sequence has been generated by the designed system and they have been saved to the test result file. They have been tested using NIST test suite and FIPS-140-1 standards and successful results have been obtained. It is concluded that the FPGA-based system is able to be used in cryptologic applications.
  • Keywords
    IEEE standards; chaos generators; cryptography; field programmable gate arrays; random number generation; FIPS-140-1 standards; FPGA; IEEE 754 standard; NIST test suite; Sprott 94 G chaotic system; XOR method; chaotic communication systems; chaotic oscillator unit; chaotic signal oscillators; cryptographic applications; discrete-time chaotic signal generator; quantification process; true random bit generator; true random number generator system; Chaotic communication; Field programmable gate arrays; Generators; NIST; Signal processing; Chaos; FPGA; NIST test suite; true random number generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830209
  • Filename
    6830209