• DocumentCode
    2996865
  • Title

    Enhancing the Randomness of a Combined True Random Number Generator Based on the Ring Oscillator Sampling Method

  • Author

    Jessa, Mieczyslaw ; Matuszewski, Lukasz

  • Author_Institution
    Fac. of Electron. & Telecommun., Poznan Univ. of Technol., Poznan, Poland
  • fYear
    2011
  • fDate
    Nov. 30 2011-Dec. 2 2011
  • Firstpage
    274
  • Lastpage
    279
  • Abstract
    An efficient method for generating number sequences that pass all statistical tests is combining numbers produced by many independent generators. Excellent statistical properties are very important in many applications but they are not sufficient in cryptography. We need the unpredictability of numbers that ensures the irreproducibility of sequences by an attacker. This paper proposes a new method for enhancing the randomness of a combined true random number generator (TRNG) using jitter observed in ring oscillators (ROs). To enhance the quality of output streams, we use an auxiliary source of randomness (ASR) that perturbs signals produced by ROs. The increase of entropy is obtained by combining XOR bits produced by many biased RO-based TRNGs. It increases the degree of unpredictability but requires a measure of the quality of this process, which is different from statistical testing of time sequences. To assess the unpredictability of output bits, we used the restarts mechanism proposed in earlier papers.
  • Keywords
    cryptography; field programmable gate arrays; jitter; random number generation; statistical testing; XOR bit; cryptography; field programmable gate array; jitter; number sequence; randomness; ring oscillator sampling method; statistical properties; statistical test; true random number generator; Cryptography; Entropy; Field programmable gate arrays; Generators; NIST; Ring oscillators; True random number generator; cryptography; entropy; field programmable gate array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reconfigurable Computing and FPGAs (ReConFig), 2011 International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4577-1734-5
  • Type

    conf

  • DOI
    10.1109/ReConFig.2011.35
  • Filename
    6128589