Security Analysis of ISS Watermarking Using Natural Scene Statistics

Autor:	Qiping Zeng, Jiangqun Ni, Dong Zhang, Jiwu Huang, Dah-Jye Lee
Rok vydání:	2010
Předmět:	Security analysis symbols.namesake Computer science Gaussian Key (cryptography) symbols Scene statistics Data mining computer.software_genre Computer security Host (network) Digital watermarking computer
Zdroj:	Information Hiding ISBN: 9783642164347 Information Hiding
DOI:	10.1007/978-3-642-16435-4_18
Popis:	Watermarking security has captured great attention from researchers in recent years. The security of watermarking is determined by the difficulty of estimating the secret key used in embedding/detecting schemes. As a widely used scheme, Improved Spread-Spectrum (ISS) watermarking performs better than Additive Spread-Spectrum (Add-SS) and is able to include Add-SS watermarking as a specialized case. Because of its popularity, the investigation on the security of ISS watermarking has been reported. Previous works on evaluating the security of ISS watermarking mainly focus on the assumption of Gaussian host and ignore the effects from the non-Gaussian characteristics of natural images. This paper analyzes the security of ISS watermarking from the viewpoint of Shannon information theory by using Gaussian Scale Mixture (GSM) model to characterize the natural scene statistics and reveals the relationship between the security and its related factors. Theoretical analysis and simulation results show that the security of ISS watermarking with the Gaussian host assumption is over-stated in previous work.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f5b30b0406f332b8f0d64b6cf63d1a13 https://doi.org/10.1007/978-3-642-16435-4_18 Zobrazit plný text záznamu