Abstract
In this paper, we study the bounded sum-of-digits discrete logarithm problem in finite fields. Our results are concerned primarily with fields Fqn, where n|q - 1. The fields are called Kummer extensions of Fq. It is known that we can efficiently construct an element g with order exponential in n. Let $S_q(\bullet)$ be the function from integers to the sum of digits in their q-ary expansions. We first present an algorithm that, given ge (0 $\leq$ e < qn), finds e in random polynomial time, provided that Sq (e) < n. We then show that the problem is solvable in random polynomial time for most of the exponent e with Sq (e) < 1.32 n by exploring an interesting connection between the discrete logarithm problem and the problem of list decoding of Reed--Solomon codes and applying the Guruswami--Sudan algorithm. As far as we are aware, our algorithm is the first one which can solve discrete logarithms of $2^{\log^{1-\epsilon}{q^n}}$ many instances in polynomial time for infinite many constant characteristic fields Fqn. Furthermore, since every finite field has an extension of reasonable degree, which is a Kummer extension, our result reveals an unexpected property of the discrete logarithm problem, namely, the bounded sum-of-digits discrete logarithm problem in any given finite field becomes polynomial-time solvable in certain low degree extensions. As a side result, we obtain a sharper lower bound on the number of congruent polynomials generated by linear factors than the one based on the Stothers--Mason ABC-theorem. We also prove that, in the field Fqq-1, the bounded sum-of-digits discrete logarithm with respect to g can be computed in random time O(f(w)log4 (qq-1)), where f is a subexponential function and w is the bound on the q-ary sum-of-digits of the exponent; hence the problem is fixed parameter tractable. These results are shown to be generalized to Artin--Schreier extension Fpp, where p is a prime.
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