Title :
Steganography Defending against High-Order Statistics Analysis
Author :
Tang, Guangming ; Liu, Jing
Author_Institution :
Dept. of Inf. Security, Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
Abstract :
According to the analysis of Haar wavelet decomposing characteristics and the demonstration about high order statistics invariability, a new embedding scheme resisting high-order statistics analysis is presented. In order to resist steganalysis, the hiding method to preserve high order statistics of H, V, and D sub-bands of images decomposed by Haar wavelet and the approach to generate the set of random embedding location are devised. Finally, the capability of proposed algorithm is discussed in theory and proved by experiments. The results show it possesses perfect imperceptibility and resistance to high order statistics analysis and RS attack.
Keywords :
Haar transforms; higher order statistics; image coding; steganography; wavelet transforms; Haar wavelet decomposing characteristics; high-order statistics analysis; image decomposition; steganography; Computer science; Computer science education; Discrete wavelet transforms; Educational technology; Higher order statistics; Information analysis; Resists; Security; Statistical analysis; Steganography; Haar wavelet decomposition; High Order statistics; randomicity; steganographic algorithm;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.509