Succinct publicly auditable MPC with universal setup

Kanjalkar, Sanket Makarand

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https://hdl.handle.net/2142/108065 Copy

Description

Title

Succinct publicly auditable MPC with universal setup

Author(s)

Kanjalkar, Sanket Makarand

Issue Date

2020-05-15

Director of Research (if dissertation) or Advisor (if thesis)

Miller, Andrew E

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

MPC, zk-SNARKs, zero knowledge, auditable MPC, marlin

Abstract

In recent years, Multiparty computation as a service (MPCSaaS) is gaining popularity as a promising approach for building privacy-preserving communication systems. Although there has been significant improvement in the efficiency and robustness of such protocols, in this thesis, we argue that these properties might not be enough for many MPC applications.Specifically, we need unconditional public auditability, which means that everyone can check that a given (secure) computation was performed correctly, even in the scenario where all the participants involved in the computation are corrupted. We also desire this auditability to be public, meaning any party that did not participate in the computation can audit it.We improve upon the previous state of the art adaptive Trinocchio by Veeningen [1] in three ways: 1) Our auditor has constant pairing cost 2) Our proof sizes are reduced by a factor of three, and 3) we do not rely on a circuit-specific setup.In this work, we show the first construction of auditable robust MPC that supports fast verification, succinct proof size with one time universal, and updatable setup. Importantly,we provide auditability without significantly compromising the performance of the underlying Shamir secret shared MPC protocol, i.e, adding auditability only incurs a linear computation overhead and constant round communication overhead. We implement and evaluate our construction report various performance metrics

Graduation Semester

2020-05

Type of Resource

Thesis

Permalink

http://hdl.handle.net/2142/108065

Copyright and License Information

"Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED ""AS IS"", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.mmetz2@illinois.edu"

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