Transient Signal Feature Extraction Based on Box Dimension and the Largest Lyapunov Dimension
- https://doi.org/10.2991/iccia.2012.71How to use a DOI?
- cognitive radio, primary user emulation attacks, box dimension, the largest Lyapunov dimension, feature extraction component
Cognitive radio is one kind of wireless communication technology, which is to effectively improve the spectrum efficiency by the way of wireless spectrum sensing. Besides of varieties of security issues of the traditional wireless communication, it also has some new problems, such as Primary User Emulation (PUE) attack. This essay presents that based on the fractal dimension of the transient signal characteristics extraction to protect the PUE attack from the cognitive wireless networks, and then extract the fractal dimension of wireless transmitter through experiments to provide reliable characteristic parameters for the next signal recognition, finally to prevent PUE’s attack.
- © 2013, 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 - Caidan Zhao AU - Fujia Yan AU - Minghui Gao AU - Lianfen Huang PY - 2014/05 DA - 2014/05 TI - Transient Signal Feature Extraction Based on Box Dimension and the Largest Lyapunov Dimension BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 291 EP - 293 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.71 DO - https://doi.org/10.2991/iccia.2012.71 ID - Zhao2014/05 ER -