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.
