Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2008
Abstract
The buyer-seller watermarking protocol enables a seller to successfully identify a traitor from a pirated copy, while preventing the seller from framing an innocent buyer. Based on finite field theory and the homomorphic property of public key cryptosystems such as RSA, several buyer-seller watermarking protocols (N. Memon and P. W. Wong (2001) and C.-L. Lei et al. (2004)) have been proposed previously. However, those protocols require not only large computational power but also substantial network bandwidth. In this paper, we introduce a new buyer-seller protocol that overcomes those weaknesses by managing the watermarks. Compared with the earlier protocols, ours is n times faster in terms of computation, where n is the number of watermark elements, while incurring only O(1/lN) times communication overhead given the finite field parameter lN. In addition, the quality of the watermarked image generated with our method is better, using the same watermark strength.
Keywords
Buyer seller protocol, Buyer-seller watermarking, Communication overheads, Computational power, Finite field theory, Finite fields, Homomorphic property, Network bandwidth, Public key cryptosystems, Watermarked images
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
Advances in Multimedia
Volume
2008
First Page
1
Last Page
7
ISSN
1529-2371
Identifier
10.1155/2008/905065
Publisher
JAI Press
Citation
WU, Yongdong and PANG, Hwee Hwa.
A Lightweight Buyer-Seller Watermarking Protocol. (2008). Advances in Multimedia. 2008, 1-7.
Available at: https://ink.library.smu.edu.sg/sis_research/784
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1155/2008/905065
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons