DocumentCode
3245569
Title
Spread-spectrum steganalysis and PN sequence estimation
Author
Xie, Chunhui ; Cheng, Yimin ; Chen, Yangkun
Author_Institution
Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Volume
9
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
4143
Lastpage
4147
Abstract
A novel audio steganalysis approach for Direct-Sequence Spread-Spectrum (DSSS) hiding method is presented in this paper. The proposed scheme can potently detect DSSS hiding message without any priori knowledge. Meanwhile, it can give an optimum estimation of the Spread Spectrum (SS) sequence adopted by transmitter. With a given length of PseudoNoise (PN) sequence, the maximal cumulative cross correlation between PN sequence and test audio can be obtained employing Genetic Algorithm (GA), and then the kurtosis of cross correlation curve via PN sequence length is adopted as the sensitive feature to design the detector. The optimum estimation of SS sequence is considered as the PN sequence which makes the curve achieve its maximal value. Experiments have been carried out under various embedding rates, and the results demonstrate the effectiveness of the proposed scheme.
Keywords
audio signal processing; correlation methods; genetic algorithms; radio transmitters; spread spectrum communication; steganography; telecommunication security; DSSS hiding message; PN sequence estimation; SS sequence; audio steganalysis approach; direct-sequence spread-spectrum hiding method; genetic algorithm; maximal cumulative cross correlation curve; pseudonoise sequence; spread-spectrum steganalysis; transmitter; Correlation; Estimation; Gallium; Signal processing; Spread spectrum communication; Transmitters; Watermarking; DSSS; cumulative cross correlation; genetic algorithm; hidden message detection; steganalysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646193
Filename
5646193
Link To Document