• DocumentCode
    2618276
  • Title

    On quadratic m-sequences

  • Author

    Chan, Agnes H. ; Games, Richard A. ; Rushanan, J.J.

  • Author_Institution
    Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    364
  • Abstract
    Maximal sequences generated by linear feedback shift registers (FSRs), known as m-sequences, have been well-studied in the literature. These sequences have long periods, good statistical properties and two-valued autocorrelation functions. However, m-sequences are extremely vulnerable to a known plaintext attack. In order to overcome these weaknesses, nonlinearities have been introduced. We study nonlinear feedback functions by investigating quadratic functions. The quadratic span of a periodic binary sequence is the length of the shortest quadratic FSR that generates the sequence. This paper considers the question as to whether the sequence obtained from a DeBruijn sequence by dropping the all-zero state can now have quadratic span n. Such sequences are the quadratic analog of the linear m-sequences and present an attractive extremal case to explore further the structure of nonlinear FSRs
  • Keywords
    binary sequences; correlation methods; feedback; DeBruijn sequence; autocorrelation functions; linear m-sequences; maximal sequences; nonlinear feedback functions; nonlinearities; periodic binary sequence; plaintext attack; quadratic functions; quadratic m-sequences; quadratic span; statistical properties; Autocorrelation; Binary sequences; Computer science; Educational institutions; Feedback; Linearity; National security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.394654
  • Filename
    394654