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  • Investigation on Scrambler Reconstruction With Minimum A Prior Knowledge

    Author(s)
    Liu, XB
    Koh, SN
    Wu, XW
    Chui, CC
    Griffith University Author(s)
    Wu, Xin-Wen
    Year published
    2011
    Metadata
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    Abstract
    The existing algorithm for reconstruction of the feedback polynomial in a linear scrambler relies on the assumption that the input sequence is produced by a biased memoryless source and the source bias is known and used for reconstruction. In this paper, the problem of reconstruction of the feedback polynomial in a linear scrambler without knowledge of the source bias is studied. An algorithm is proposed to reconstruct the scrambler without knowledge of the source bias and factors which affect the performance of this algorithm are discussed. A scheme which reduces the number of bits used in the reconstruction without ...
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    The existing algorithm for reconstruction of the feedback polynomial in a linear scrambler relies on the assumption that the input sequence is produced by a biased memoryless source and the source bias is known and used for reconstruction. In this paper, the problem of reconstruction of the feedback polynomial in a linear scrambler without knowledge of the source bias is studied. An algorithm is proposed to reconstruct the scrambler without knowledge of the source bias and factors which affect the performance of this algorithm are discussed. A scheme which reduces the number of bits used in the reconstruction without affecting the detection capability of the reconstruction algorithm is also proposed in this paper.
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    Conference Title
    GLOBECOM - IEEE Global Telecommunications Conference
    DOI
    https://doi.org/10.1109/GLOCOM.2011.6133602
    Subject
    Cybersecurity and privacy not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/44527
    Collection
    • Conference outputs

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