• Which functionalities are securely realizable (or are “trivial” – i.e., can be reduced to any functionality)?
• Which functionalities are “complete” – i.e., those to which any functionality can be reduced?
• More generally, which functionalities are reducible to which? Outside of triviality and completeness, this question is relatively less explored.
Reductions yield relative measures of complexity among various functionalities. In the information- theoretic setting, absolute complexity measures have also been considered. In particular, we discuss results regarding which functions have t-private protocols (in which security is required against a passive adversary corrupting t out of n players) and how this set changes as t increases from 1 to n.
We treat separately the results on two-party functionalities, for which the cryptographic complexity is much better understood. In particular, we present unified combinatorial characterizations of completeness and triviality for secure function evaluation using notions of isomorphism and the common information functionality (called the kernel) of a given functionality. Beyond completeness and triviality, we also discuss results on general reducibility, and, in the computationally bounded setting, the connection between these reductions and computational hardness assumptions.
We briefly discuss results on reactive functionalities, which are much less studied than non-reactive (secure function evaluation) functionalities. Finally, we conclude with a selection of open problems.Category / Keywords: foundations / Publication Info: Authors' version of a chapter in a book published by IOS Press (copyright retained by the authors) Date: received 26 Jan 2013 Contact author: mmp at illinois edu Available format(s): PDF | BibTeX Citation Version: 20130129:224638 (All versions of this report) Discussion forum: Show discussion | Start new discussion