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Fragile Database Watermarking for Malicious Tamper Detection Using Support Vector Regression

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4 Author(s)
Meng-Hsiun Tsai ; Nat. Chung Hsing Univ., Taichung ; Fang-Yu Hsu ; Jun-Dong Chang ; Hsien-Chu Wu

This paper presents a digital watermarking technology for guaranteeing the database integrity. The proposed scheme based on the fragile watermarking technique, exploits trained support vector regression (SVR) predicting function to distribute the digital watermark over the particular numeric attributes to achieve embedding and detecting watermark by the same SVR predicting function. If the absolute value of the difference between predicted value and attribute value is more than the designed fixed value, like one, then the database content will be tampered with.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on  (Volume:1 )

Date of Conference:

26-28 Nov. 2007