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Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things

This paper describes the design and analysis of a new scheme for the authenticated exchange of confidential information in insecure environments within the Internet of Things, which allows a receiver of a message to authenticate the sender and compute a secret key shared with it. The proposal is bas...

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Detalles Bibliográficos
Autores principales: Martín-Fernández, Francisco, Caballero-Gil, Pino, Caballero-Gil, Cándido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732108/
https://www.ncbi.nlm.nih.gov/pubmed/26751454
http://dx.doi.org/10.3390/s16010075
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author Martín-Fernández, Francisco
Caballero-Gil, Pino
Caballero-Gil, Cándido
author_facet Martín-Fernández, Francisco
Caballero-Gil, Pino
Caballero-Gil, Cándido
author_sort Martín-Fernández, Francisco
collection PubMed
description This paper describes the design and analysis of a new scheme for the authenticated exchange of confidential information in insecure environments within the Internet of Things, which allows a receiver of a message to authenticate the sender and compute a secret key shared with it. The proposal is based on the concept of a non-interactive zero-knowledge proof, so that in a single communication, relevant data may be inferred to verify the legitimacy of the sender. Besides, the new scheme uses the idea under the Diffie–Hellman protocol for the establishment of a shared secret key. The proposal has been fully developed for platforms built on the Android Open Source Project, so it can be used in any device or sensor with this operating system. This work provides a performance study of the implementation and a comparison between its promising results and others obtained with similar schemes.
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spelling pubmed-47321082016-02-12 Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things Martín-Fernández, Francisco Caballero-Gil, Pino Caballero-Gil, Cándido Sensors (Basel) Article This paper describes the design and analysis of a new scheme for the authenticated exchange of confidential information in insecure environments within the Internet of Things, which allows a receiver of a message to authenticate the sender and compute a secret key shared with it. The proposal is based on the concept of a non-interactive zero-knowledge proof, so that in a single communication, relevant data may be inferred to verify the legitimacy of the sender. Besides, the new scheme uses the idea under the Diffie–Hellman protocol for the establishment of a shared secret key. The proposal has been fully developed for platforms built on the Android Open Source Project, so it can be used in any device or sensor with this operating system. This work provides a performance study of the implementation and a comparison between its promising results and others obtained with similar schemes. MDPI 2016-01-07 /pmc/articles/PMC4732108/ /pubmed/26751454 http://dx.doi.org/10.3390/s16010075 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martín-Fernández, Francisco
Caballero-Gil, Pino
Caballero-Gil, Cándido
Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title_full Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title_fullStr Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title_full_unstemmed Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title_short Authentication Based on Non-Interactive Zero-Knowledge Proofs for the Internet of Things
title_sort authentication based on non-interactive zero-knowledge proofs for the internet of things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732108/
https://www.ncbi.nlm.nih.gov/pubmed/26751454
http://dx.doi.org/10.3390/s16010075
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