An improved QIM based anti-collusion fingerprinting scheme
暂无分享,去创建一个
Digital fingerprinting is a technique by embedding a unique identifying signal which corresponds to the user's identity in each legally distributed copy. A digital fingerprinting system may suffer from the collusion attacks from a group of users. Quantization Index Modulation (QIM) is an important embedding technique. In QIM, quantization step size has a marked influence on the detection performance of fingerprinting system. Higher the value of quantization step size is, worse the detection performance is. Therefore, we propose an improved QIM based fingerprinting scheme by adding a random dither signal to the host signal to enhance the collusion resistance of fingerprinting system. Simulation results show that the improved fingerprinting system has better collusion resistance than traditional QIM based fingerprinting system.
[1] Gregory W. Wornell,et al. Quantization index modulation: A class of provably good methods for digital watermarking and information embedding , 2001, IEEE Trans. Inf. Theory.
[2] Min Wu,et al. Forensic analysis of nonlinear collusion attacks for multimedia fingerprinting , 2005, IEEE Transactions on Image Processing.
[3] Ingemar J. Cox,et al. Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..