Tamper detection and localization for categorical data using fragile watermarks

13 years 10 months ago

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Today, database relations are widely used and distributed over the Internet. Since these data can be easily tampered with, it is critical to ensure the integrity of these data. In this paper, we propose to make use of fragile watermarks to detect and localize malicious alterations made to a database relation with categorical attributes. Unlike other watermarking schemes which inevitably introduce distortions to the cover data, the proposed scheme is distortion free. In our algorithm, all tuples in a database relation are ﬁrst securely divided into groups according to some secure parameters. Watermarks are embedded and veriﬁed in each group independently. Thus, any modiﬁcations can be localized to some speciﬁc groups. Theoretical analysis shows that the probability of missing detection is very low. Categories and Subject Descriptors H.1 [Information System]: Models and Principles; H.2.7 [Database Management]: Database Administrationsecurity, integrity and protection; K.6.5 [Man...

Yingjiu Li, Huiping Guo, Sushil Jajodia

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