• DocumentCode
    1683136
  • Title

    Fast approximation of anti-random sequence generator for stream ciphering

  • Author

    Esteki, Shahram ; Movahhedinia, Naser ; Baraani, Ahmad

  • Author_Institution
    Fac. of Eng., Isfahan Univ., Iran
  • Volume
    2
  • fYear
    2005
  • Firstpage
    871
  • Abstract
    Stream ciphering is an essential coding method for delay sensitive traffic such as voice and video. In this method the source sequence is combined with the output of a key stream generator using XOR The strength and robustness of this ciphering method lays in complexity of the key stream generator. A well-known method for generating key stream is pseudo-random number generator) which is based on LFSR. Recently the anti-random sequence has attained attraction and shown to have better statistical properties compared to pseudo-random numbers, so it appears be suitable for stream ciphering. The existing methods for generating anti-random numbers are highly time and memory consuming. This paper presents an approximate method for generating anti-random sequence, which is very simple and does not need large capacity of memory, while preserves the properties of the sequence. Moreover, we show that our method presents enough statistical complexity to fulfill the required security for stream ciphering.
  • Keywords
    computational complexity; cryptography; random number generation; random sequences; statistical analysis; antirandom sequence generator; coding method; delay sensitive traffic; key stream generator; pseudorandom number generator; statistical properties; stream ciphering security; Character generation; Cryptography; Delay effects; Jitter; Linear feedback shift registers; Random number generation; Robustness; Search methods; Security; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2005. ICC 2005. 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8938-7
  • Type

    conf

  • DOI
    10.1109/ICC.2005.1494475
  • Filename
    1494475