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A buyer-seller watermarking protocol for digital secondary market

Sudirman, S, Song, C and Sang, J (2016) A buyer-seller watermarking protocol for digital secondary market. Multimedia Tools and Applications. ISSN 1573-7721

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Abstract

In the digital right management value chain, digital watermarking technology plays a very important role in digital product’s security, especially on its usage tracking and copyrights infringement authentication. However, watermark procedures can only effectively support copyright protection processes if they are applied as part of an appropriate watermark protocol. In this regard, a number of watermark protocols have been proposed in the literature and have been shown to facilitate the use of digital watermarking technology as copyright protection. One example of such protocols is the anonymous buyer-seller watermarking protocol. Although there are a number of protocols that have been proposed in the literature and provide suitable solutions, they are mainly designed as a watermarking protocol for the first-hand market and are unsuitable for second-hand transactions. As the complexity of online transaction increases, so does the size of the digital second-hand market. In this paper, we present a new buyer-seller watermark protocol that addresses the needs of customer’s rights problem in the digital secondary market. The proposed protocol consists of five sub-protocols that cover the registration process, watermarking process for the first, second and third-hand transactions as well as the identification & arbitration processes. This paper provides analysis that compares the proposed protocols with existing state-of-the-arts and shows that it has met not only all the buyer’s and seller’s requirements in the traditional sense but also accommodates the same requirements in the secondary market.

Item Type: Article
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-016-4247-8
Uncontrolled Keywords: 0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems, 0801 Artificial Intelligence And Image Processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Computer Science & Mathematics
Publisher: Springer Link
Date Deposited: 05 Jan 2017 10:58
Last Modified: 04 Sep 2021 12:09
DOI or ID number: 10.1007/s11042-016-4247-8
URI: https://researchonline.ljmu.ac.uk/id/eprint/5166
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