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Secure implementations of Edit Distance algorithms using EMP-toolkit garbled circuits

License: GNU General Public License v3.0

C++ 100.00%
edit-distance levenshtein-distance garbled-circuits multi-party-computation secure-multi-party-computation two-party-computation

smpc-ed's Introduction

SMPC-ED

Secure Multi-Party Computation - Edit Distance

This project implements several algorithms for the secure computation of Edit Distance using the semi-honest two-party computation based on garbled circuits model provided by the EMP-toolkit.

There are six different algorithms implemented in plain C++.

The first four of these algorithms are also implemented with the EMP-toolkit. For the others a direct implementation is not convenient due to unefficient management of secret array indexes in secure computation.

Getting started

C++ (Standard directory)

After compiling, just run:

./EditDistance <input_length> <threshold>

EMP (Secure directory)

  1. Install the EMP-toolkit
  2. Run ./bin/EditDistance 1 12345 <input_length> <threshold> & ./bin/EditDistance 2 12345 <input_length> <threshold>

Parameters

The <input_length> (must be the same for the programs in Secure directory) and the <threshold> are optional.

Possible <input_length> are: 5, 7, 50, 100, 200, 250, 500, 1000, 2000, 3000, 3500, 4000, 5000, 10000, 50000. These are randomly generated DNA (A, C, G, T) strings.

It is also possible to use IDash_1, IDash_2, and IDash_3, which are real DNA sequences of approximately 3400 characters from a genome database released by iDASH Security and Privacy Workshop 2016

Further details about EMP options are here

License

Distributed under the GPL 3.0 License. See LICENSE for more information.

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