• DocumentCode
    3125722
  • Title

    A High-performance Pseudo-random Number Generator Based on FPGA

  • Author

    Jun, Ding ; Na, Li ; Yixiong, Guo ; Jun, Yang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    This article mainly describes a way of designing an efficient pseudo-random number generator. Combining that the cellular automaton has many characteristics, such as simple rules of the component units, the local connectivity of units, the high degree of parallelism in information processing, and the complicated global characteristics, we use the rule 30 of one-dimensional cellular automaton to drive the state change. Finally, the pseudo-random numbers produced from the generator are tested the performance. And the results show that this design can be better applied to cryptography to ensure information technology and network security.
  • Keywords
    cellular automata; computer network security; cryptography; field programmable gate arrays; random number generation; FPGA; cellular automaton; component units; cryptography; high-performance pseudo-random number generator; information processing; information technology security; local units connectivity; network security; Automata; Biological system modeling; Cryptography; Field programmable gate arrays; Information processing; Information security; Information systems; Information technology; Mathematical model; Parallel processing; Cellular automaton; FPGA; Pseudo-random number; Rule 30;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3901-0
  • Electronic_ISBN
    978-1-4244-5400-6
  • Type

    conf

  • DOI
    10.1109/WNIS.2009.67
  • Filename
    5381941