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        "author": "Alberto Sonnino",
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            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Topic :: Security :: Cryptography"
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        "description": "# Coconut\n\n[![license](https://img.shields.io/badge/license-apache2-brightgreen.svg)](https://github.com/asonnino/coconut/blob/master/LICENSE) \n[![Build Status](https://travis-ci.org/asonnino/coconut.svg?branch=master)](https://travis-ci.org/asonnino/coconut)\n[![Documentation Status](https://readthedocs.org/projects/coconut-lib/badge/?version=latest)](http://coconut-lib.readthedocs.io/en/latest/?badge=latest)\n\n**Coconut** is a novel selective disclosure credential scheme supporting distributed threshold issuance, public and private attributes, re-randomization, and multiple unlinkable selective attribute revelations. Coconut integrates with blockchains to ensure confidentiality, authenticity and availability even when a subset of credential issuing authorities are malicious or offline. Coconut uses short and computationally efficient credentials, and our [evaluation](https://github.com/asonnino/coconut-timing) shows that most Coconut cryptographic primitives take just a few milliseconds on average, with verification taking the longest time (10 milliseconds). We implement and evaluate a generic Coconut smart contract library for [Chainspace](https://github.com/asonnino/coconut-chainspace) and [Ethereum](https://github.com/asonnino/coconut-ethereum).\n\nA link to the full paper is available at the following address: [https://arxiv.org/abs/1802.07344](https://arxiv.org/abs/1802.07344)\n\n\n## Pre-requisites\n**Coconut** is built on top of [petlib](https://github.com/gdanezis/petlib) and [bplib](https://github.com/gdanezis/bplib), make sure to follow [these instructions](https://github.com/gdanezis/petlib#pre-requisites) to install all the pre-requisites.\n\n\n## Install\nIf you have `pip` installed, you can install **Coconut** with the following command:\n```\n$ pip install coconut-lib\n```\notherwise, you can build it manually as below:\n```\n$ git clone https://github.com/asonnino/coconut\n$ cd coconut\n$ pip install -e .\n```\n\n\n## Test\nTests can be run as follows:\n```\n$ pytest -v --cov=coconut tests/\n```\nor simply using tox:\n```\n$ tox\n```\n\n## License\n[The Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0)\n\n\n",
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            "Paper": "https://arxiv.org/abs/1802.07344",
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