Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination.

We propose the application of independent component analysis (ICA), via unsupervised neural networks, to authenticity protection for multimedia products. We give an overview of the current state of multimedia authenticity protection, including the requirements of various multimedia applications, current approaches to the problem, and the robustness of the approaches. For watermark security, a covert independent-component watermarking signal can serve as a 'vaccination' against a dormant digital 'bacteria' protecting the multimedia data.