Paper: | MMSP-L2.6 |
Session: | Multimedia Security and Content Protection |
Time: | Thursday, May 18, 15:40 - 16:00 |
Presentation: |
Lecture
|
Topic: |
Multimedia Signal Processing: Multimedia security and content protection |
Title: |
On Optimal Collusion Strategies for Fingerprinting |
Authors: |
Negar Kiyavash, Pierre Moulin, University of Illinois at Urbana-Champaign, United States |
Abstract: |
We study the theoretical performance of linear and nonlinear collusion attacks under the assumptions that orthogonal or regular-simplex fingerprints are used, and that the detector performs a linear correlation test in order to decide whether a user of interest is among the colluders. The colluders create a noise-free forgery by applying a mapping $f$ to their individual copies, and then add a noise sequence $\be$ to form the actual forgery. They seek the mapping $f$ and the distribution of $\be$ that maximize the probability of error of the detector. The performance of linear-averaging and interleaving attacks can be compared in this framework. It is also shown that impulsive noise attacks are far more effective than Gaussian attacks. |