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BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation
Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices. To address this issue, in this paper, we propose...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263686/ https://www.ncbi.nlm.nih.gov/pubmed/30400673 http://dx.doi.org/10.3390/s18113785 |
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author | Zhou, Lijing Wang, Licheng Ai, Tianyi Sun, Yiru |
author_facet | Zhou, Lijing Wang, Licheng Ai, Tianyi Sun, Yiru |
author_sort | Zhou, Lijing |
collection | PubMed |
description | Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices. To address this issue, in this paper, we propose a decentralized outsourcing computation (DOC) scheme, where the servers can perform fully homomorphic computations on encrypted data from the data owner according to the request of the data owner. In this process, the servers cannot obtain any plaintext data, and dishonest servers can be detected by the data owner. Then, we apply the DOC scheme in the IoT scenario to achieve a confidential blockchain-enabled IoT system, called BeeKeeper 2.0. To the best of our knowledge, this is the first work in which servers of a blockchain-enabled IoT system can perform any-degree homomorphic multiplications and any number of additions on encrypted data from devices according to the requests of the devices without obtaining any plaintext data of the devices. Finally, we provide a detailed performance evaluation for the BeeKeeper 2.0 system by deploying it on Hyperledger Fabric and using Hyperledger Caliper for performance testing. According to our tests, the time consumed between the request stage and recover stage is no more than 3.3 s, which theoretically satisfies the production needs. |
format | Online Article Text |
id | pubmed-6263686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62636862018-12-12 BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation Zhou, Lijing Wang, Licheng Ai, Tianyi Sun, Yiru Sensors (Basel) Article Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices. To address this issue, in this paper, we propose a decentralized outsourcing computation (DOC) scheme, where the servers can perform fully homomorphic computations on encrypted data from the data owner according to the request of the data owner. In this process, the servers cannot obtain any plaintext data, and dishonest servers can be detected by the data owner. Then, we apply the DOC scheme in the IoT scenario to achieve a confidential blockchain-enabled IoT system, called BeeKeeper 2.0. To the best of our knowledge, this is the first work in which servers of a blockchain-enabled IoT system can perform any-degree homomorphic multiplications and any number of additions on encrypted data from devices according to the requests of the devices without obtaining any plaintext data of the devices. Finally, we provide a detailed performance evaluation for the BeeKeeper 2.0 system by deploying it on Hyperledger Fabric and using Hyperledger Caliper for performance testing. According to our tests, the time consumed between the request stage and recover stage is no more than 3.3 s, which theoretically satisfies the production needs. MDPI 2018-11-05 /pmc/articles/PMC6263686/ /pubmed/30400673 http://dx.doi.org/10.3390/s18113785 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhou, Lijing Wang, Licheng Ai, Tianyi Sun, Yiru BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title | BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title_full | BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title_fullStr | BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title_full_unstemmed | BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title_short | BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation |
title_sort | beekeeper 2.0: confidential blockchain-enabled iot system with fully homomorphic computation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263686/ https://www.ncbi.nlm.nih.gov/pubmed/30400673 http://dx.doi.org/10.3390/s18113785 |
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