Compressed Sensing Applied to Wireless Sensor Networks Security
- DOI
- 10.2991/iccasm.2012.183How to use a DOI?
- Keywords
- Compressed Sensing, Joint Channel Characteristics, Key Generation, Wireless Sensor Networks
- Abstract
Secure communication in wireless sensor networks (WSNs) is a challenging problem due to the scale and resource limitations. This means that most existing security protocols such as cryptography are not applicable in WSNs. However, more recent researches argue that encryption based on compressed sensing (CS) has the inherent advantage for security. And a measurement matrix used for sensing is usually constructed by a secret key. But establishment and assignment of the secret key is very difficult for wireless scenarios. In this context, we propose a security scheme for WSNs, which allows two legitimate nodes to establish a common secret key by exploiting joint channel characteristics of wireless channel. These characteristics between any two nodes are unique, unpredictable and decor relating rapidly in space. The established keys can then be used to construct measurement matrix and reconstruction matrix for the two nodes respectively. For improving bit rate and agreement of secret keys, some methods are also proposed in the paper. Analysis and simulation results show that, our proposed scheme ensures a high level of security for WSNs and also has the advantage of low computability complexity.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jianxun Zhao AU - Jihai Huang PY - 2012/08 DA - 2012/08 TI - Compressed Sensing Applied to Wireless Sensor Networks Security BT - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012) PB - Atlantis Press SP - 722 EP - 725 SN - 1951-6851 UR - https://doi.org/10.2991/iccasm.2012.183 DO - 10.2991/iccasm.2012.183 ID - Zhao2012/08 ER -