このエントリーをはてなブックマークに追加
ID 58562
フルテキストURL
著者
Yasui, Tatsuya Graduate School of Science and Technology, Okayama University
Kuribayashi, Minoru Graduate School of Science and Technology, Okayama University ORCID Kaken ID publons researchmap
Funabiki, Nobuo Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
Echizen, Isao National Institute of Informatics
抄録
A previously proposed optimal detector for bias-based fingerprinting codes such as Tardos and Nuida requires two kinds of important information: the number of colluders and the collusion strategy used to generate the pirated codeword. An estimator has now been derived for these two parameters. The bias in the pirated codeword is measured by observing the number of zeros and ones and compared with possible bias patterns calculated using information about the collusion strategy and number of colluders. Computer simulation demonstrated that the collusion strategy and number of colluders can be estimated with high probability and that the traceability of a detector using the proposed estimator is extremely close to being optimal.
キーワード
fingerprinting code
optimal detector
collusion strategy
number of colluders
estimator
発行日
2019-11-28
出版物タイトル
IEEE Transactions on Information Forensics and Security
15巻
出版者
Institute of Electrical and Electronics Engineers
開始ページ
2069
終了ページ
2080
ISSN
15566013
NCID
AA12122678
資料タイプ
学術雑誌論文
言語
English
OAI-PMH Set
岡山大学
論文のバージョン
author
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1109/TIFS.2019.2956587
助成機関名
文部科学省
助成番号
JP16K00185