Benchmarking of scoring functions for bias-based fingerprinting code

Minoru Kuribayashi

doi:10.1109/ICASSP.2016.7472035

Benchmarking of scoring functions for bias-based fingerprinting code

Minoru Kuribayashi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The study of universal detector for fingerprinting code is strongly dependent on the design of scoring function. The best detector is known as the MAP detector that calculates an optimal correlation score, but the number of colluders and their collusion strategy are inevitable. Although there are some scoring functions under some collusion strategies and asymptotic analyses, their numerical evaluation has not been done. In this study, their performance is evaluated for some typical collusion strategies using a discretized bias-based binary fingerprinting code. We also propose a simple but efficient scoring function based on a heuristic observation.

Original language	English
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2039-2043
Number of pages	5
Volume	2016-May
ISBN (Electronic)	9781479999880
DOIs	https://doi.org/10.1109/ICASSP.2016.7472035
Publication status	Published - May 18 2016
Event	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: Mar 20 2016 → Mar 25 2016

Other

Other	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/Territory	China
City	Shanghai
Period	3/20/16 → 3/25/16

Keywords

collusion attack
fingerprinting code
scoring function

ASJC Scopus subject areas

Signal Processing
Software
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2016.7472035

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Benchmarking of scoring functions for bias-based fingerprinting code. / Kuribayashi, Minoru.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. p. 2039-2043 7472035.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kuribayashi, M 2016, Benchmarking of scoring functions for bias-based fingerprinting code. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. vol. 2016-May, 7472035, Institute of Electrical and Electronics Engineers Inc., pp. 2039-2043, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 3/20/16. https://doi.org/10.1109/ICASSP.2016.7472035

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Benchmarking of scoring functions for bias-based fingerprinting code

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Keywords

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