Transient Signal Feature Extraction Based on Box Dimension and the Largest Lyapunov Dimension

DOI

10.2991/iccia.2012.71How to use a DOI?

Keywords

cognitive radio, primary user emulation attacks, box dimension, the largest Lyapunov dimension, feature extraction component

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/iccia.2012.71
ID  - Zhao2014/05
ER  -