Scalable and robust fingerprinting scheme using statistically secure extension of anti-collusion code

Jae Min Seol, Seong Whan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fingerprinting schemes use digital watermarks to determine originators of unauthorized/pirated copies. Multiple users may collude and collectively escape identification by creating an average or median of their individually watermarked copies. Previous fingerprint code design including ACC (anti-collusion code) cannot support large number of users, and we present a practical solution, which defines scalability over existing codebook generation scheme. To increase the robustness over average and median attack, we design a scalable ACC scheme using a Gaussian distributed random variable. We experiment with our scheme using human visual system based watermarking scheme, and the simulation results with standard test images show good collusion detection performance over average and median collusion attacks.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2005, Proceedings
Pages1086-1091
Number of pages6
DOIs
StatePublished - 2005
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 15 Dec 200519 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Intelligence and Security, CIS 2005
Country/TerritoryChina
CityXi'an
Period15/12/0519/12/05

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