A Multiple Bits Watermark for Relational Data

At the heart of the information economy, commercially and publicly useful databases must be sufficiently protected from pirated copying. Complementary to the Database Protection Act, database watermarking techniques are designed to thwart pirated copying by embedding owner-specific information into...

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Main Authors: LI, Yingjiu, GUO, Huiping, WANG, Shuhong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/794
http://dx.doi.org/10.4018/jdm.2008070101
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-17932010-11-26T07:24:03Z A Multiple Bits Watermark for Relational Data LI, Yingjiu GUO, Huiping WANG, Shuhong At the heart of the information economy, commercially and publicly useful databases must be sufficiently protected from pirated copying. Complementary to the Database Protection Act, database watermarking techniques are designed to thwart pirated copying by embedding owner-specific information into databases so that the ownership of pirated copies of protected databases can be claimed if the embedded information is detected. This article presents a robust watermarking scheme for embedding a multiple-bits watermark to numerical attributes in database relations. The scheme is robust in the sense that it provides an upper bound for the probability that a valid watermark is detected from unmarked data, or a fictitious secret key is discovered from pirated data. This upper bound is independent of the size of the data. The scheme is extended to database relations without primary-key attributes to thwart attribute-related attacks. The scheme is also extended to multiple watermarks for defending additive attacks and for proving joint ownership. 2008-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/794 info:doi/10.4018/jdm.2008070101 http://dx.doi.org/10.4018/jdm.2008070101 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Information Security
spellingShingle Databases and Information Systems
Information Security
LI, Yingjiu
GUO, Huiping
WANG, Shuhong
A Multiple Bits Watermark for Relational Data
description At the heart of the information economy, commercially and publicly useful databases must be sufficiently protected from pirated copying. Complementary to the Database Protection Act, database watermarking techniques are designed to thwart pirated copying by embedding owner-specific information into databases so that the ownership of pirated copies of protected databases can be claimed if the embedded information is detected. This article presents a robust watermarking scheme for embedding a multiple-bits watermark to numerical attributes in database relations. The scheme is robust in the sense that it provides an upper bound for the probability that a valid watermark is detected from unmarked data, or a fictitious secret key is discovered from pirated data. This upper bound is independent of the size of the data. The scheme is extended to database relations without primary-key attributes to thwart attribute-related attacks. The scheme is also extended to multiple watermarks for defending additive attacks and for proving joint ownership.
format text
author LI, Yingjiu
GUO, Huiping
WANG, Shuhong
author_facet LI, Yingjiu
GUO, Huiping
WANG, Shuhong
author_sort LI, Yingjiu
title A Multiple Bits Watermark for Relational Data
title_short A Multiple Bits Watermark for Relational Data
title_full A Multiple Bits Watermark for Relational Data
title_fullStr A Multiple Bits Watermark for Relational Data
title_full_unstemmed A Multiple Bits Watermark for Relational Data
title_sort multiple bits watermark for relational data
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/794
http://dx.doi.org/10.4018/jdm.2008070101
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