Journal
INFORMATION SCIENCES
Volume 180, Issue 23, Pages 4672-4684Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2010.08.003
Keywords
Digital watermarking; Watermarking protocol; Signal processing in the encrypted domain; Multimedia security; Copyright protection
Categories
Funding
- National Natural Science Foundation of China (NSFC) [90304008, 60772136]
- National High Technology Research and Development Program of China [2007AA01Z435]
- Program of Introducing Talents of Discipline to Universities [B08038]
- Central Universities [JY10000901027]
- Xidian University [05019, 08017]
Ask authors/readers for more resources
In most watermarking schemes for copyright protection, a seller usually embeds a watermark in multimedia content to identify a buyer. When an unauthorized copy is found by the seller, the traitor's identity can be traced by the embedded watermark However, it incurs both repudiation issue and framing Issue To solve these problems, some buyer-seller watermarking protocols have been proposed based on watermarking scheme in the encrypted domain. In this paper, an enhanced watermarking scheme is presented Compared with Solanki et al.'s scheme, the enhanced scheme increases effective watermarking capacity, avoids additional overhead and overcomes an inherent flaw that watermarking capacity depends on the probability distribution of input watermark sequence Based on the security requirements of buyer-seller watermarking protocols, a new watermarking scheme in the encrypted domain with flexible watermarking capacity is proposed. It improves the robustness of watermark sequence against image compressions and enables image tampering detection. Watermark extraction is blind, which employs the same threshold criterion and secret keys as watermark embedding. Experimental results demonstrate that the enhanced watermarking scheme eliminates the drawbacks of Solanki et al's scheme and that the proposed watermarking scheme in the encrypted domain outperforms Kuribayashi and Tanaka's scheme. (C) 2010 Elsevier Inc All rights reserved
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available