DHB-KEY - A Diffie-Hellman Key Distribution Protocol for Wireless Sensor Networks
Antony Chung and Utz Roedig. DHB-KEY - A Diffie-Hellman Key Distribution Protocol for Wireless Sensor Networks. In Proceedings of the 5th IEEE European Workshop on Wireless Sensor Networks (EWSN2008), Bologna, Italy, January 2008. (Poster Presentation).
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Abstract
Many sensor network applications require secure communication between sensor nodes and the sink. This paper presents a key distribution scheme based on the well known Elliptic Curve Diffie-Hellman key exchange mechanism. The DHB-KEY scheme is performed in two stages. The first stage is carried out in a secure environment before network deployment. The second stage is carried out periodically using a single broadcast message. Each node arrives at a unique key it shares with the sink. This paper presents a first evaluation and a prototype implementation of the protocol. We have found that the presented key distribution approach uses energy and communication resources efficiently and has a low deployment complexity.
BibTeX
@InProceedings{ ewsn08:chung,
author = {Antony Chung and Utz Roedig},
title = {{DHB-KEY - A Diffie-Hellman Key Distribution Protocol for Wireless Sensor Networks}},
year = {2008},
month = January,
booktitle = {Proceedings of the 5th IEEE European Workshop on Wireless Sensor Networks (EWSN2008), Bologna, Italy},
note = {(Poster Presentation).},
abstract =
{
Many sensor network applications require secure communication between sensor nodes and the sink. This paper
presents a key distribution scheme based on the well known Elliptic Curve Diffie-Hellman key exchange mechanism.
The DHB-KEY scheme is performed in two stages. The first stage is carried out in a secure environment before
network deployment. The second stage is carried out periodically using a single broadcast message. Each node
arrives at a unique key it shares with the sink. This paper presents a first evaluation and a prototype implementation
of the protocol. We have found that the presented key distribution approach uses energy and communication resources
efficiently and has a low deployment complexity.
}
}
