Bias equalizer for binary probabilistic fingerprinting codes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In binary probabilistic fingerprinting codes, the number of symbols "0" and "1" is generally balanced because of the design of the codeword. After a collusion attack, the balance of symbols is not always assured in a pirated codeword. It is reported in [8] that if the number of symbols in a pirated codeword is unbalanced, then a tracing algorithm can be improved by equalizing the unbalanced symbols. In this study, such a bias equalizer is customized for probabilistic fingerprinting codes utilizing the encoding parameters. Although the proposed bias equalizer is highly dependent on collusion strategies, it can improve the performance of traceability for some typical strategies to which the conventional bias equalizer can not be applied.

Original languageEnglish
Title of host publicationInformation Hiding - 14th International Conference, IH 2012, Revised Selected Papers
Pages269-283
Number of pages15
DOIs
Publication statusPublished - Mar 5 2013
Externally publishedYes
Event14th International Conference on Information Hiding, IH 2012 - Berkeley, CA, United States
Duration: May 15 2012May 18 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7692 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Information Hiding, IH 2012
CountryUnited States
CityBerkeley, CA
Period5/15/125/18/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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