Selecting Cover for Image Steganography by Correlation Coefficient

Author

Sun, Yifeng ; Liu, Fenlin

Author_Institution

Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China

Volume

2

fYear

2010

fDate

6-7 March 2010

Firstpage

159

Lastpage

162

Abstract

The security of steganographic system is improved by selecting cover. The cover data are modeled as Gauss-Markov process, where the correlation coefficient of two arbitrary data elements is the exponent of correlation parameter. The KL divergence and Bhattacharyya distance of Spread Spectrum steganographic system increase with the correlation parameter. Thus the cover with smaller correlation parameter is selected to improve security. For image spatial domain steganography, the correlation parameter of image data is calculated by a special exponential model of correlation coefficients and the least squares estimator. Experiments show that the cover selection method is efficient on improving the security of image steganoagraphy.

Keywords

Gaussian processes; Markov processes; image processing; least squares approximations; steganography; Bhattacharyya distance; Gauss-Markov process; KL divergence; Kullback-Leibler divergence; arbitrary data elements; correlation coefficient; cover data; image spatial domain steganography; least squares estimator; spread spectrum steganographic system; Communication system security; Data security; Educational technology; Face detection; Gaussian processes; Information security; Least squares approximation; Pixel; Spread spectrum communication; Steganography; Image Processing; Security; Steganalysis; Steganography; information hiding;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6388-6

Electronic_ISBN

978-1-4244-6389-3

Type

conf

DOI

10.1109/ETCS.2010.33

Filename

5459929