Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

Fingerprinting Numeric Databases with Information Preservation and Collusion Avoidance

Information age demands omnipresence of data. Large data sets are created, maintained and outsourced to the third party experts for data mining. Knowledge and patterns are extracted by using advanced data mining algorithms that assist the decision makers to ensure quick, correct and effective decisions to be made in this world of competition. The outsourcing of these large data sets faces the p...

The Effect of the Novel Anti-Collusion Fingerprinting Scheme on the Knowledge from Numeric Databases

The effect of applying the novel anti-collusion fingerprinting scheme on the knowledge obtained from numeric databases is elaborated in this paper. Here, how the classification statistics are affected after fingerprinting numeric datasets is depicted. Several different classifiers are used for the purpose. This technique is primary key independent and resilient to additive attack. It is found t...

Anti-collusion fingerprinting for multimedia

Digital fingerprinting is a technique for identifying users who might try to use multimedia content for unintended purposes, such as redistribution. These fingerprints are typically embedded into the content using watermarking techniques that are designed to be robust to a variety of attacks. A cost-effective attack against such digital fingerprints is collusion, where several differently marke...

Collusion-resilient fingerprinting using random prewarping

Fingerprinting of audio-visual content using digital watermarks is an effective means of determining the originators of unauthorized copies and fighting piracy in digital distribution networks. In particular, watermarks embedded within the content help trace the traitor responsible for the piracy. A group of users may, however, collude and collectively escape identification by creating an avera...

Lower Bounds for Collusion-Se ure Fingerprinting