$k$-Error linear complexity for multidimensional arrays

نویسندگان

  • Domingo G'omez-P'erez
  • Min Sha
  • Andrew Tirkel
چکیده

In this paper, we focus on linear complexity measures of multidimensional sequences over finite fields, generalizing the one-dimensional case and including that of multidimensional arrays (identified with multidimensional periodic sequence) as a particular instance. A cryptographically strong sequence or array should not only have a high linear complexity, it should also not be possible to decrease significantly the linear complexity by changing a few terms. This leads to the concept of the k-error linear complexity. We make computations for some typical families of multidimensional arrays to confirm that they have a large k-error linear complexity for small k. Particularly, we give lower and upper bounds on the expected values of the linear complexity and k-error linear complexity of multidimensional arrays.

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تاریخ انتشار 2018