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Efficiency in Secure Multi-Party Computations

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Status

This project started in September 2004 and ended in December 2008.

Researchers

Research Problem and Background

Cooperation among parties that do not necessarily trust each other is a common problem in business and government administration contexts and will become more important in the emerging information economy. Examples include business negotiations, collective decision making (e.g. voting), auctioning, contract signing, or the joint computation of statistical data.

The topic of this project is secure cooperation in a distributed environment among parties that neither trust each other nor have a common party they all trust.

Secure multi-party computation (MPC) is a crucial technique in this context as it allows the simulation of a trusted party. However, known protocols for MPC are either highly inefficient, especially in terms of the communication complexity, or they are targeted to very specific problems (like voting). This projects aims at devising new models and protocols, bridging the gap from theory to practice.

Objectives and Plan

Summary of the Results

Multi-party computation (MPC) enables a set of n mutually distrusting players to perform some computation on their private inputs, such that the correctness of the output as well as the privacy of the honest players' inputs is guaranteed even in the presence of an adversary corrupting up to t of the players and making them misbehave arbitrarily.

In this project, we focused on the efficiency of multi-party computation protocols, and presented the following contributions:

All four mentioned contributions are optimal in all security parameters, i.e., achieve statistical security where t<n/2, and achieve perfect security where t<n/3 (respectively t<n/4 in the asynchronous world).

Papers and Conference Talks

 

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© 2013 ETH Zurich | Imprint | Disclaimer | 9 April 2009
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