Abstract: The paper is devoted to analysis of effectiveness the usage of modern statistical model of digital image for revealing the stego images with data, embedded in transformation domain of cover images. It is considered the case of applying of standard Subtractive Pixel Adjacency Matrix model for detection the presence of stegodata, hidden with usage of various type the cover image transformation – Discrete Cosine Transform, Discrete Wavelets Transform, Singular Value Decomposition. It is established that accuracy of stego image detection by usage of the model rises by increasing the amount of stage the cover image processing and significantly depends on type of embedded stegodata.

Keywords: passive steganalysis, multistage embedding methods, digital images.

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

Link:

PASSIVE STEGANALYSIS OF MULTIDOMAIN EMBEDDING METHODS

Dmytro Progonov, Serhii Kushch

http://www.foibg.com/ijita/vol22/ijita22-01-p06.pdf