Generalized learning problems and applications to non-commutative cryptography

  • Authors:
  • Gilbert Baumslag;Nelly Fazio;Antonio R. Nicolosi;Vladimir Shpilrain;William E. Skeith

  • Affiliations:
  • The City College of CUNY;The City College of CUNY;Stevens Institute of Technology;The City College of CUNY;The City College of CUNY

  • Venue:
  • ProvSec'11 Proceedings of the 5th international conference on Provable security
  • Year:
  • 2011

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Abstract

We propose a generalization of the learning parity with noise (LPN) and learning with errors (LWE) problems to an abstract class of group-theoretic learning problems that we term learning homomorphisms with noise (LHN). This class of problems contains LPN and LWE as special cases, but is much more general. It allows, for example, instantiations based on non-abelian groups, resulting in a new avenue for the application of combinatorial group theory to the development of cryptographic primitives. We then study a particular instantiation using relatively free groups and construct a symmetric cryptosystem based upon it.