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Open AccessArticle

An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring

1
Institute of Medical Sciences, Tzu Chi University, No. 701, Zhongyang Road, Sec. 3, Hualien 97004, Taiwan
2
Department of Medical Informatics, Tzu Chi University, No. 701, Zhongyang Road, Sec. 3, Hualien 97004, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(5), 1146; https://doi.org/10.3390/s19051146
Received: 12 December 2018 / Revised: 27 February 2019 / Accepted: 1 March 2019 / Published: 6 March 2019
(This article belongs to the Section Sensor Networks)
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. View Full-Text
Keywords: agriculture monitoring; agriculture WSN; key agreement; dynamic identity; agriculture decision support system; lightweight authentication agriculture monitoring; agriculture WSN; key agreement; dynamic identity; agriculture decision support system; lightweight authentication
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MDPI and ACS Style

Chen, M.; Lee, T.-F.; Pan, J.-I. An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring. Sensors 2019, 19, 1146. https://doi.org/10.3390/s19051146

AMA Style

Chen M, Lee T-F, Pan J-I. An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring. Sensors. 2019; 19(5):1146. https://doi.org/10.3390/s19051146

Chicago/Turabian Style

Chen, Meriske; Lee, Tian-Fu; Pan, Jiann-I. 2019. "An Enhanced Lightweight Dynamic Pseudonym Identity Based Authentication and Key Agreement Scheme Using Wireless Sensor Networks for Agriculture Monitoring" Sensors 19, no. 5: 1146. https://doi.org/10.3390/s19051146

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