文献类型：会议论文

英文题名：Digital audio blind watermarking algorithm based on audio characteristic and scrambling encryption

作者：Weina, Wu[1]

机构：[1] School of Mathematics and Computer, Guangdong Ocean University, Haida Lu No.1, Mazhang District, Zhanjiang, 524088, China

会议论文集：Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017

会议日期：March 25, 2017 - March 26, 2017

会议地点：Chongqing, China

语种：英文

外文关键词：Audio watermarking - Discrete wavelet transforms - Watermarking

外文摘要：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. ? 2017 IEEE.