Title :
Universal Steganalysis to Images with WBMC Model
Author :
Yang, Xiaoyuan ; Wang, Shifeng ; Liu, Jia
Author_Institution :
Dept. of Electron. Technol., Eng. Coll. of Armed Police Force, Xian, China
Abstract :
We propose a Wavelet based Markov Chain (WBMC) model for nature images, which can present statistic divergence between cover image and steg image prominently. Based on Markov chain empirical matrix, we discussed the difference between low frequency domain and high frequency domain generalized by steg process, and then defined two models: WBMC_L model and WBMC_H model respective to construct our WBMC model. This model relied most on the statistic relativity of coefficients. At last, many experiment results are given to support our theory.
Keywords :
Markov processes; frequency-domain analysis; image processing; matrix algebra; statistical analysis; steganography; wavelet transforms; WBMC model; WBMC_H model; WBMC_L model; frequency domain; statistic divergence; universal steganalysis; wavelet-based Markov chain empirical matrix; Educational institutions; Frequency domain analysis; Information security; Large-scale systems; Signal processing; Statistics; Steganography; Wavelet coefficients; Wavelet transforms; White noise; Markov Chain; steganalysis; wavelet coefficients;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.259
