Abstract: The paper is devoted to comparative analysis of performance the modern methods of statistical steganalysis in case of message hiding in digital images with usage of multidomain and multistage embedding methods. It is considered the case of applying of statistical models of cover images in spatial (SPAM model) and frequency (CC-PEV model) domains, as well as universal CDF model for revealing the stego image with messages, embedded with usage of standard (Discrete Cosine and Wavelet Transforms) and special (Singular Value Decomposition) transforms of cover images and stegodata. It is shown that applying of modern methods of statistical steganalysis allows reliably revealing stego images, formed according to multistage embedding methods. Usage special transforms of cover images, for instance Singular Value Decomposition, allows significantly decrease the performance of statistical steganalysis, which requires development of new statistical models of cover images for steganogram detection.

Keywords: statistical steganalysis, multidomain embedding methods, multistage embedding methods, digital images.

ACM Classification Keywords: D.4 Operating Systems – Security and protection – Information flow controls.

Link:

STATISTICAL STEGANALYSIS OF MULTISTAGE EMBEDDING METHODS

Dmytro Progonov

http://www.foibg.com/ijima//vol05/ijima05-01-p03.pdf