Proceedings ArticleDOI
Cryptanalysis of a Digital Watermarking Scheme Based on Support Vector Regression
Madhuri Siddula,Somitra Kumar Sanadhya,A. V. Subramanyam +2 more
- pp 1554-1559
TLDR
This paper analyses an image watermarking scheme based on Support Vector Regression (SVR) proposed by R. Shen et al. and shows that watermark tampering can be done even when one does not know the secret key used to embed the watermark.Abstract:
This paper analyses an image watermarking scheme based on Support Vector Regression (SVR) proposed by R. Shen et al. We describe various attacks against this scheme and show that watermark tampering can be done even when one does not know the secret key used to embed the watermark. Next we discuss methods to extract the keys used in the scheme under various usage scenarios. Our results show that Shen et al.'s scheme is not secure.read more
References
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Book
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
TL;DR: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory, and will guide practitioners to updated literature, new applications, and on-line software.
Book
Cryptography: Theory and Practice
TL;DR: The object of the book is to produce a general, comprehensive textbook that treats all the essential core areas of cryptography.
Book
Digital Watermarking and Steganography
TL;DR: This new edition now contains essential information on steganalysis and steganography, and digital watermark embedding is given a complete update with new processes and applications.
Journal ArticleDOI
Robust Watermarking of Compressed and Encrypted JPEG2000 Images
TL;DR: A robust watermarking algorithm to watermark JPEG2000 compressed and encrypted images is proposed, using a stream cipher and the embedding capacity, robustness, perceptual quality and security of the proposed algorithm are investigated.
Journal ArticleDOI
A novel image watermarking scheme based on support vector regression
TL;DR: A novel support vector regression based color image watermarking scheme is proposed that outperform the Kutter's method and Yu's method against different attacks including noise addition, shearing, luminance and contrast enhancement, distortion, etc.