Watermarking Relational Databases

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Author

Radu Sion and Mikhail Atallah and Sunil Prabhakar

Tech report number

CERIAS TR 2002-28

Entry type

techreport

Abstract

Digital Watermarking, in the traditional sense is the technique of embedding un-detectable (un-perceivable) hidden information into multimedia objects (i.e. images, audio, video, text) mainly to protect the data from unauthorized duplication and distribution by enabling provable ownership over the content. Recent research of the authors introduces the issue of digital watermarking for generic number sets. In the present paper we expand on this foundation and introduce a solution for relational database content security through watermarking. To the best of our knowledge there is no research on this issue. Our solution addresses a series of important attacks, such as data re-sorting, subset selection (up to 30% and above data loss tolerance), linear data changes. Finally we present dbwm.*, a proof-of-concept implementation of our algorithm and its application on real life data, namely in watermarking data from the outsourced Wal-Mart sales database of the years 1999-2000.

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URL

http://www.cs.purdue.edu/homes/sion

Booktitle

(submission for review)

Institution

CERIAS

Key alpha

sion2002wmdb

Affiliation

CERIAS

Publication Date

1900-01-01

Keywords

Watermarking, Databases, Security

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Subject

Watermarking relational databases

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@Techreport{ sion2002wmdb,
	title = "Watermarking Relational Databases",
	author = "Radu Sion and Mikhail Atallah and Sunil Prabhakar",
	booktitle = "(submission for review)",
	institution = "CERIAS",
	abstract = "Digital Watermarking, in the traditional sense is the technique of
embedding un-detectable (un-perceivable) hidden information into
multimedia objects (i.e. images, audio, video, text) mainly to protect
the data from unauthorized duplication and distribution by enabling
provable ownership over the content.
 
Recent research of the authors introduces the issue of digital
watermarking for generic number sets. In the present paper we
expand on this foundation and introduce a solution for relational
database content security through watermarking. To the best of our
knowledge there is no research on this issue. Our solution addresses
a series of important attacks, such as data re-sorting, subset
selection (up to 30% and above data loss tolerance), linear data
changes. Finally we present dbwm.*, a proof-of-concept implementation
of our algorithm and its application on real life data, namely in
watermarking data from the outsourced Wal-Mart sales database of
the years 1999-2000.
",
	affiliation = "CERIAS",
	keywords = "Watermarking, Databases, Security",
	language = "EN",
	subject = "Watermarking relational databases",
	url = "http://www.cs.purdue.edu/homes/sion",
}