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

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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 PUEs attack.

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Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3607-3610

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3607

Citation:

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Online since:

September 2013

Authors:

Cai Dan Zhao, Fu Jia Yan, Ming Hui Gao, Lian Fen Huang

Keywords:

Box Dimension, Cognitive Radio (CR), Feature Extraction Component, Largest Lyapunov Dimension, Primary User Emulation Attacks

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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