Research Article
A Secure Authentication Scheme based on Brownian Motion in hierarchy Wireless Sensor Networks
@ARTICLE{10.4108/eai.13-7-2018.160389, author={Minh Hoang Trong and Ngoc Le Van and Nguyen Lang Tuan and Hai Hoang Dang}, title={A Secure Authentication Scheme based on Brownian Motion in hierarchy Wireless Sensor Networks}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={6}, number={21}, publisher={EAI}, journal_a={INIS}, year={2019}, month={9}, keywords={wireless sensor networks, authentication, Brownian motion, watermark technique}, doi={10.4108/eai.13-7-2018.160389} }
- Minh Hoang Trong
Ngoc Le Van
Nguyen Lang Tuan
Hai Hoang Dang
Year: 2019
A Secure Authentication Scheme based on Brownian Motion in hierarchy Wireless Sensor Networks
INIS
EAI
DOI: 10.4108/eai.13-7-2018.160389
Abstract
In the last few years, the Internet of Things (IoT) has experienced exponential advancements. In IoT infrastructures, Wireless Sensor Network (WSN) has been considered as one of the crucial technologies to support a lot of amazing services. To fulfill new requirements of deployed network environments, the security issue in wireless sensor networks has to be met new challenges such as secured and lightweight requirements simultaneously. Hence, in this paper, an authentication scheme based on the watermarking technique is proposed to secure the sensory data in hierarchy wireless sensor networks. Especially, natural movement characteristics of a sensor node are exploited to provide a conveniently watermarked data, that can be used to validate and detect data integrity attacks in familiar methods. The proposed authentication scheme is evaluated by numerical results and theoretically analyzed to prove a proposal efficiency.
Copyright © 2019 Minh Hoang Trong et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.