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

摘要：

　　Cognitive radio is one kind of wireless communication technology,which is to effectively improve the spectrum efficiency by the way of wireless spectrum seining.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.

关键词： cognitive radio primary user emulation attacks box dimension the largest Lyapunov dimension feature extraction component

作者: Caidan Zhao Fujia Yan Minghui Gao Lianfen Huang

作者单位: Department of Communication Engineering, Xiamen University, Xiamen, 361005, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 291-293

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）