Perception-based audio authentication watermarking in the time-frequency domain

Abstract

Current systems and protocols based on cryptographic methods for integrity and authenticity verification of media data do not distinguish between legitimate signal transformation and malicious tampering that manipulates the content. Furthermore, they usually provide no localization or assessment of the relevance of such manipulations with respect to human perception or semantics. We present an algorithm for a authentication audio watermarking that uses a perception-based robust hash function in combination with robust watermarking to verify the integrity of audio recordings. Experimental results show that the proposed system provides both a high level of distinction between perceptually different audio data and a high robustness against signal transformations that do not change the perceived information. © 2009 Springer Berlin Heidelberg.