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Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices
The Internet of Things is integrating information systems, places, users and billions of constrained devices into one global network. This network requires secure and private means of communications. The building blocks of the Internet of Things are devices manufactured by various producers and are...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610516/ https://www.ncbi.nlm.nih.gov/pubmed/26343677 http://dx.doi.org/10.3390/s150921478 |
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author | Marin, Leandro Piotr Pawlowski, Marcin Jara, Antonio |
author_facet | Marin, Leandro Piotr Pawlowski, Marcin Jara, Antonio |
author_sort | Marin, Leandro |
collection | PubMed |
description | The Internet of Things is integrating information systems, places, users and billions of constrained devices into one global network. This network requires secure and private means of communications. The building blocks of the Internet of Things are devices manufactured by various producers and are designed to fulfil different needs. There would be no common hardware platform that could be applied in every scenario. In such a heterogeneous environment, there is a strong need for the optimization of interoperable security. We present optimized elliptic curve Cryptography algorithms that address the security issues in the heterogeneous IoT networks. We have combined cryptographic algorithms for the NXP/Jennic 5148- and MSP430-based IoT devices and used them to created novel key negotiation protocol. |
format | Online Article Text |
id | pubmed-4610516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46105162015-10-26 Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices Marin, Leandro Piotr Pawlowski, Marcin Jara, Antonio Sensors (Basel) Article The Internet of Things is integrating information systems, places, users and billions of constrained devices into one global network. This network requires secure and private means of communications. The building blocks of the Internet of Things are devices manufactured by various producers and are designed to fulfil different needs. There would be no common hardware platform that could be applied in every scenario. In such a heterogeneous environment, there is a strong need for the optimization of interoperable security. We present optimized elliptic curve Cryptography algorithms that address the security issues in the heterogeneous IoT networks. We have combined cryptographic algorithms for the NXP/Jennic 5148- and MSP430-based IoT devices and used them to created novel key negotiation protocol. MDPI 2015-08-28 /pmc/articles/PMC4610516/ /pubmed/26343677 http://dx.doi.org/10.3390/s150921478 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marin, Leandro Piotr Pawlowski, Marcin Jara, Antonio Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title | Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title_full | Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title_fullStr | Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title_full_unstemmed | Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title_short | Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices |
title_sort | optimized ecc implementation for secure communication between heterogeneous iot devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610516/ https://www.ncbi.nlm.nih.gov/pubmed/26343677 http://dx.doi.org/10.3390/s150921478 |
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