Research Article
Performance Evaluation of EC-ElGamal Encryption Algorithm for Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-37893-5_31, author={Soufiene Othman and Abdelbasset Trad and Hani Alzaid and Habib Youssef}, title={Performance Evaluation of EC-ElGamal Encryption Algorithm for Wireless Sensor Networks}, proceedings={Wireless Mobile Communication and Healthcare. Third International Conference, MobiHealth 2012, Paris, France, November 21-23, 2012, Revised Selected Papers}, proceedings_a={MOBIHEALTH}, year={2013}, month={4}, keywords={Wireless sensor network security elliptic curve ElGamal Energy consumption analysis}, doi={10.1007/978-3-642-37893-5_31} }
- Soufiene Othman
Abdelbasset Trad
Hani Alzaid
Habib Youssef
Year: 2013
Performance Evaluation of EC-ElGamal Encryption Algorithm for Wireless Sensor Networks
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-37893-5_31
Abstract
The rapid development in the Wireless Sensor Networks (WSNs) filed has allowed this technology to be used in many applications. In some of these applications, wireless sensor devices must be secured, especially when the captured information is valuable, sensitive, or for military usage. However, the implementation of security mechanisms on WSNs is a non-trivial task. Limitations in processing speed, battery power, bandwidth and memory constrain the applicability of existing cryptography algorithms for WSNs. The security of WSNs poses challenges because of the criticality of the data sensed by a node and in turn the node meets severe constraints like minimal energy, computational and communicational capabilities. Taking all the above said challenges energy efficiency or battery life time plays a major role in network lifetime. Providing security consumes some energy used by a node, so there is a need to minimize the energy consumption of any security algorithm that will be implemented in WSNs. As a solution, we apply an additive homomorphic encryption scheme, namely the elliptic curve ElGamal (EC-ElGamal) cryptosystem, and present the performance results of our implementation for the prominent sensor platform MicaZ mote.