Hard instances of the constrained discrete logarithm problem

  • Authors:
  • Ilya Mironov;Anton Mityagin;Kobbi Nissim

  • Affiliations:
  • SVC-5, Microsoft Corp, CA;Department of Computer Science and Engineering, University of California, La Jolla, CA;Ramat-Gan, Israel

  • Venue:
  • ANTS'06 Proceedings of the 7th international conference on Algorithmic Number Theory
  • Year:
  • 2006

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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 explicit construction of sets 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 explicit sets with provable non-trivial lower bounds.