Title :
Fingerprinting relational databases: schemes and specialties
Author :
Li, Yingjiu ; Swarup, Vipin ; Jajodia, Sushil
Author_Institution :
Sch. of Inf. Syst., Singapore Manage. Univ., Singapore
Abstract :
In this paper, we present a technique for fingerprinting relational data by extending Agrawal et al.´s watermarking scheme. The primary new capability provided by our scheme is that, under reasonable assumptions, it can embed and detect arbitrary bit-string marks in relations. This capability, which is not provided by prior techniques, permits our scheme to be used as a fingerprinting scheme. We then present quantitative models of the robustness properties of our scheme. These models demonstrate that fingerprints embedded by our scheme are detectable and robust against a wide variety of attacks including collusion attacks.
Keywords :
fingerprint identification; relational databases; watermarking; bit-string marks; collusion attacks; fingerprinting; quantitative models; relational databases; robustness properties; watermarking; Detection algorithms; Fingerprint recognition; Multimedia databases; Permission; Protection; Relational databases; Robustness; Testing; Watermarking; Index Terms- Fingerprint; collusion attack.; relational database; robustness;
Journal_Title :
Dependable and Secure Computing, IEEE Transactions on
DOI :
10.1109/TDSC.2005.12