Cart (Loading....) | Create Account
Close category search window
 

A Web-Based Privacy-Secure Content Trading System for Small Content Providers Using Semi-Blind Digital Watermarking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Okada, M. ; Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto, Japan ; Okabe, Y. ; Uehara, T.

A privacy-secure content trading system based on semi-blind fingerprinting is presented. Semi-blind fingerprinting provides privacy-secure content trading as secure as blind fingerprinting at feasible processing cost with sufficient robustness. This system assures a fair trading for both a content provider and a purchaser which is effective for a market where a number of small or not so reliable content providers deal with purchasers. We have been aiming at providing a useful tool for the market by overcoming the following defects. In the basic models of conventional fingerprinting, the user's security could be guaranteed only under the premise that a content provider was perfectly trustworthy. Such premise makes a system unpractical. To overcome this defect, various scheme of blind fingerprinting have been proposed in which cryptography technique is used in order to protect user's privacy. However, these are not practical due to heavy computation cost and insufficient robustness of watermark against manipulations. The semi-blind fingerprinting fulfills the need for both feasibility and robustness by altering encryption with image decomposition that blinds up an image to be unrecognizable. Image decomposition and a customized embedding algorithm are implemented to a web-based system, whose perceptual condition of decomposed images and robustness of watermark is evaluated.

Published in:

Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE

Date of Conference:

9-12 Jan. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.