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arXiv · math/0606771

Hard Instances of the Constrained Discrete Logarithm Problem

Abstract

The discrete logarithm problem (DLP) generalizes to the constrained DLP, where the secret exponent $x$ belongs to a set known to the attacker. The complexity of generic algorithms for solving the constrained DLP depends on the choice of the set. Motivated by cryptographic applications, we study sets with succinct representation for which the constrained DLP is hard. We draw on earlier results due to Erdös et al. and Schnorr, develop geometric tools such as generalized Menelaus' theorem for proving lower bounds on the complexity of the constrained DLP, and construct sets with succinct representation with provable non-trivial lower bounds.

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BibTeXRIS

Ilya Mironov, Anton Mityagin, Kobbi Nissim. 2006-07-24. Hard Instances of the Constrained Discrete Logarithm Problem. https://doi.org/10.1007/11792086_41

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