A promising approach for overcoming these limitations is to augment the SFE setting with a small set of untrusted servers that have no input to the computation and that receive no output, but that make their computational resources available to the parties. In this model, referred to as server-aided SFE, the goal is to tradeoff the parties' work at the expense of the servers. Motivated by the emergence of public cloud services such as Amazon EC2 and Microsoft Azure, recent work has explored the extent to which server-aided SFE can be achieved with a single server.
In this work, we revisit the sever-aided setting from a practical perspective and design single-server-aided SFE protocols that are considerably more efficient than all previously-known protocols. We achieve this in part by introducing several new techniques for garbled-circuit-based protocols, including a new and efficient input-checking mechanism for cut-and-choose and a new pipelining technique that works in the presence of malicious adversaries. Furthermore, we extend the server-aided model to guarantee fairness which is an important property to achieve in practice.
Finally, we implement and evaluate our constructions experimentally and show that our protocols (regardless of the number of parties involved) yield implementations that are 4 and 6 times faster than the most optimized two-party SFE implementation when the server is assumed to be malicious and covert, respectively.Category / Keywords: cryptographic protocols / secure multi-party computation, server-aided computation, cloud-assisted MPC Publication Info: Full version of the paper that appears in ACM CCS 2012 Date: received 14 Sep 2012 Contact author: pmohasse at cpsc ucalgary ca Available formats: PDF | BibTeX Citation Version: 20120920:110216 (All versions of this report) Discussion forum: Show discussion | Start new discussion