Paper Info
Title
Estimation of Collusion Attack in Bias-based Binary Fingerprinting Code.
Abstract
An optimal detector known as MAP detector has been proposed for the probabilistic fingerprinting codes such as Tardos and Nuida codes. However, it needs two kinds of important information. One is the collusion strategy which is used at the generation of a pirated codeword from colluders' codewords, and the other is the number of colluders. In this study, we propose an estimator which outputs these two parameters from a pirated codeword. At the estimation, we measure a bias in the pirated codeword by observing the number of symbols "0" and "1", and compare with possible bias patterns calculated from collusion strategies and number of colluders. As a result of computer simulation, it is confirmed that a collusion strategy and number of colluders can be estimated with high probability. In addition, it is revealed that the traceability of the detector using the proposed estimator is extremely close to the optimal detector.
Year
DOI
Venue
2018
10.23919/APSIPA.2018.8659681
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Field
DocType
ISSN
Computer science,Fingerprint recognition,Algorithm,Code word,Probabilistic logic,Detector,Traceability,Binary number,Collusion,Estimator
Conference
2309-9402
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Tatsuya Yasui101.35
Minoru Kuribayashi22319.55
Nobuo Funabiki322769.87
Isao Echizen429968.82