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    Characterization of the third descent points for the k-error linear complexity of 2n-periodic binary sequences

    Access Status
    Fulltext not available
    Authors
    Zhou, J.
    Liu, Wan-Quan
    Wang, X.
    Date
    2016
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Zhou, J. and Liu, W. and Wang, X. 2016. Characterization of the third descent points for the k-error linear complexity of 2n-periodic binary sequences, in Proceedings of the International Conference on Information and Communications Security (ICICS), Dec 9-11 2015, pp. 169-183. Bejing, China: Springer.
    Source Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    DOI
    10.1007/978-3-319-29814-6_14
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/45017
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, a structural approach for determining CELCS (critical error linear complexity spectrum) for the k-error linear complexity distribution of 2n-periodic binary sequences is developed via the sieve method and Games-Chan algorithm. Accordingly, the third descent point (critical point) distribution of the k-error linear complexity for 2n- periodic binary sequences is characterized. As a consequence, we derive the complete counting functions on the 5-error linear complexity of 2n- periodic binary sequences when it is the third descent point. With the structural approach proposed here, one can further characterize other third and fourth descent points of the k-error linear complexity for 2n- periodic binary sequences.

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