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An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring
Agriculture plays an important role for many countries. It provides raw materials for food and provides large employment opportunities for people in the country, especially for countries with a dense population. To enhance agriculture productivity, modern technology such as wireless sensor networks...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427367/ https://www.ncbi.nlm.nih.gov/pubmed/30845771 http://dx.doi.org/10.3390/s19051146 |
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author | Chen, Meriske Lee, Tian-Fu Pan, Jiann-I |
author_facet | Chen, Meriske Lee, Tian-Fu Pan, Jiann-I |
author_sort | Chen, Meriske |
collection | PubMed |
description | Agriculture plays an important role for many countries. It provides raw materials for food and provides large employment opportunities for people in the country, especially for countries with a dense population. To enhance agriculture productivity, modern technology such as wireless sensor networks (WSNs) can be utilized to help in monitoring important parameters in thw agricultural field such as temperature, light, soil moisture, etc. During the monitoring process, if security compromises happen, such as interception or modification of the parameters, it may lead to false decisions and bring damage to agriculture productivity. Therefore, it is very important to develop secure authentication and key agreement for the system. Recently, Ali et al. proposed an authentication and key agreement scheme using WSNs for agriculture monitoring. However, it fails to provide user untraceability, user anonymity, and session key security; it suffers from sensor node impersonation attack and perfect forward secrecy attack; and even worse has denial of service as a service. This study discusses these limitations and proposes a new secure and more efficient authentication and key agreement scheme for agriculture monitoring using WSNs. The proposed scheme utilizes dynamic pseudonym identity to guarantee user privacy and eliminates redundant computations to enhance efficiency. |
format | Online Article Text |
id | pubmed-6427367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64273672019-04-15 An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring Chen, Meriske Lee, Tian-Fu Pan, Jiann-I Sensors (Basel) Article Agriculture plays an important role for many countries. It provides raw materials for food and provides large employment opportunities for people in the country, especially for countries with a dense population. To enhance agriculture productivity, modern technology such as wireless sensor networks (WSNs) can be utilized to help in monitoring important parameters in thw agricultural field such as temperature, light, soil moisture, etc. During the monitoring process, if security compromises happen, such as interception or modification of the parameters, it may lead to false decisions and bring damage to agriculture productivity. Therefore, it is very important to develop secure authentication and key agreement for the system. Recently, Ali et al. proposed an authentication and key agreement scheme using WSNs for agriculture monitoring. However, it fails to provide user untraceability, user anonymity, and session key security; it suffers from sensor node impersonation attack and perfect forward secrecy attack; and even worse has denial of service as a service. This study discusses these limitations and proposes a new secure and more efficient authentication and key agreement scheme for agriculture monitoring using WSNs. The proposed scheme utilizes dynamic pseudonym identity to guarantee user privacy and eliminates redundant computations to enhance efficiency. MDPI 2019-03-06 /pmc/articles/PMC6427367/ /pubmed/30845771 http://dx.doi.org/10.3390/s19051146 Text en © 2019 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 Chen, Meriske Lee, Tian-Fu Pan, Jiann-I An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title | An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title_full | An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title_fullStr | An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title_full_unstemmed | An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title_short | An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring |
title_sort | enhanced lightweight dynamic pseudonym identity based authentication and key agreement scheme using wireless sensor networks for agriculture monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427367/ https://www.ncbi.nlm.nih.gov/pubmed/30845771 http://dx.doi.org/10.3390/s19051146 |
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