Digital audio blind watermarking algorithm based on audio characteristic and scrambling encryption

In this paper, combining with the zero-crossing rate and short-time energy of the audio frame characteristics, an algorithm based on BTC, Arnold and chaos scrambling encryption for seeking the audio frame suitable for the embedded watermark is proposed. And also, the energy is dynamically adjusted to determine the embedding strength so as to self-adaptively embed watermark in the audio frame. Furthermore, the proposed algorithm, as a zero-watermarking algorithm, doesn't need to modify the original audio signal and can realize blind detection during watermark extraction. The imperceptibility of the algorithm is good, and the security is well due to the Arnold and chaos scrambling encryption. The simulation attack results show that the algorithm has good robustness.