@inproceedings{b55efface22b4db384d16faa646f23fa,
title = "Statistically secure extension of anti-collusion code fingerprinting",
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. We present a collusion-resilient code, which improves anti-collusion fingerprinting (AND-ACC) scheme using statistically secure matrix. Our approach improves the robustness for non-linear attacks, and can be scalable for large number of users. We experiment our approach using HVS based watermarking scheme, for standard test images, and the results show better collusion detection performance over average and median collusion attacks.",
author = "Seol, {Jae Min} and Kim, {Seong Whan}",
year = "2005",
doi = "10.1007/11604655_46",
language = "English",
isbn = "3540309993",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "404--409",
booktitle = "Distributed Computing and Internet Technology - Second International Conference, ICDCIT 2005, Proceedings",
note = "2nd International Conference on Distributed Computing and Internet Technology, ICDCIT 2005 ; Conference date: 22-12-2005 Through 24-12-2005",
}