TR05-093 | 24th August 2005 00:00
Concurrent Zero Knowledge without Complexity Assumptions
Abstract:
We provide
unconditional constructions of
concurrent
statistical zero-knowledge proofs for a variety of non-trivial
problems (not known to have probabilistic polynomial-time
algorithms). The problems include Graph Isomorphism, Graph
Nonisomorphism, Quadratic Residuosity, Quadratic Nonresiduosity, a
restricted version of Statistical Difference, and approximate
versions of the (
coNP forms of the) Shortest Vector Problem
and Closest Vector Problem in lattices.
For some of the problems, such as Graph Isomorphism and Quadratic
Residuosity, the proof systems have provers that can be implemented
in polynomial time (given an
NP witness) and have Õ(log
n) rounds, which is known to be essentially optimal for
black-box simulation.
To our best of knowledge, these are the first constructions of
concurrent zero-knowledge protocols in the asynchronous model
(without timing assumptions) that do not require complexity
assumptions (such as the existence of one-way functions).