TY - GEN
T1 - Statistically Secure and Massively Scalable Fingerprinting Scheme for Mobile Game Broadcasting Content
AU - Kim, Seong Whan
AU - Lee, Hyun Chul
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - Digital fingerprinting is a technique to prevent customers from redistributing multimedia contents illegally. Main attack for fingerprinting is the collusion attack, where multiple users collude by creating an average or median of their individual fingerprinted copies, and escape identification. Previous research such as ACC (anti-collusion code) cannot support large number of users, and also vulnerable to LCCA (linear combination collusion attack). We present a practical SACC (scalable ACC) scheme to generate codebooks for supporting large number of users; and angular decoding scheme to be robust on LCCA. We implemented the SACC codebook using a Gaussian distributed random variable for various attack robustness, and the fingerprint embedding using human visual system based watermarking scheme. We experimented with commercial mobile game video sequences for collusion detection performance, and it shows good collusion detection performance over average, median attacks. For LCCA collusion attack on SACC, our angular decoding scheme identifies the correct colluder set under various WNR (watermark to noise ratio).
AB - Digital fingerprinting is a technique to prevent customers from redistributing multimedia contents illegally. Main attack for fingerprinting is the collusion attack, where multiple users collude by creating an average or median of their individual fingerprinted copies, and escape identification. Previous research such as ACC (anti-collusion code) cannot support large number of users, and also vulnerable to LCCA (linear combination collusion attack). We present a practical SACC (scalable ACC) scheme to generate codebooks for supporting large number of users; and angular decoding scheme to be robust on LCCA. We implemented the SACC codebook using a Gaussian distributed random variable for various attack robustness, and the fingerprint embedding using human visual system based watermarking scheme. We experimented with commercial mobile game video sequences for collusion detection performance, and it shows good collusion detection performance over average, median attacks. For LCCA collusion attack on SACC, our angular decoding scheme identifies the correct colluder set under various WNR (watermark to noise ratio).
UR - http://www.scopus.com/inward/record.url?scp=85098992769&partnerID=8YFLogxK
U2 - 10.1109/ICTC49870.2020.9289310
DO - 10.1109/ICTC49870.2020.9289310
M3 - Conference contribution
AN - SCOPUS:85098992769
T3 - International Conference on ICT Convergence
SP - 1726
EP - 1731
BT - ICTC 2020 - 11th International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Y2 - 21 October 2020 through 23 October 2020
ER -