The legality of redistribution of digital content over
the Internet has become critical in commerce. The goal of the
traitor tracing problem is to find out the traitor who illegally
distributes the digital content. In this paper, a joint
fingerprinting and decryption (JFD) scheme based on vector
quantization and bipartite matching for traitor tracing is
proposed. Before transmission, the proposed method encrypts
the VQ compressed image through bipartite graphs. After the
receiver performs decryption and fingerprinting, the recover
image containing user’s fingerprint is only slightly different
from the original one and can be used for traitor tracing. The
experimental results show that the encrypted image possesses
unintelligibility and the recovered image has desirable image
quality greatly related to the codebook size.
Relation:
the sixth International Conference on Genetic and Evolutionary Computing
