• DocumentCode
    2967689
  • Title

    Data Flow Entropy Collector

  • Author

    Suciu, Alin ; Marton, Kinga ; Antal, Zoltan

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2008
  • fDate
    26-29 Sept. 2008
  • Firstpage
    445
  • Lastpage
    448
  • Abstract
    Collecting entropy from various sources available within a regular PC and combining them in an entropy pool is often used as an alternative to pseudo random number generation. Cheaper than using a hardware true random number generator (TRNG), this method offers a good approximation of a TRNG, commonly known as an unpredictable random number generator. The source of unpredictability is ultimately the human-computer interaction that, when complex enough, is irreproducible by an adversary. The present paper proposes a novel approach to combining the entropy from various sources in a data flow manner, thus increasing the degree of unpredictability. The result is a highly unpredictable random number generator, of potentially good quality.
  • Keywords
    data flow computing; entropy; human computer interaction; random number generation; data flow entropy collector; human-computer interaction; true random number generator; unpredictable random number generator; Entropy; Hardware; Keyboards; Linux; Mice; Pulse modulation; Random number generation; Sampling methods; Scientific computing; Timing; data flow; entropy; entropy source; random number generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-0-7695-3523-4
  • Type

    conf

  • DOI
    10.1109/SYNASC.2008.25
  • Filename
    5204852