NDLI: A Minimum Distortion: High Capacity Watermarking Technique for Relational Data

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Content Provider	ACM Digital Library
Author	Pérez Gort, Maikel L. Nummenmaa, Jyrki Feregrino Uribe, Claudia
Abstract	In this paper, a new multi-attribute and high capacity image-based watermarking technique for relational data is proposed. The embedding process causes low distortion into the data considering the usability restrictions defined over the marked relation. The conducted experiments show the high resilience of the proposed technique against tuple deletion and tuple addition attacks. An interesting trend of the extracted watermark is analyzed when, within certain limits, if the number of embedded marks is small, the watermark signal far from being compromised, discretely improves in the case of tuple addition attacks. According to the results, marking 13% of the attributes and under an attack of 100% of tuples addition, 96% of the watermark is extracted. Also, while previous techniques embed up to 61% of the watermark, under the same conditions, we guarantee to embed 99.96% of the marks.
Starting Page	111
Ending Page	121
Page Count	11
File Format	PDF
ISBN	9781450350617
DOI	10.1145/3082031.3083241
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data usability Ownership proof Watermarking relational data Image-based watermarking
Content Type	Text
Resource Type	Article

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A Minimum Distortion: High Capacity Watermarking Technique for Relational Data