基于DCT域实时语音的信息隐藏方法

摘要

为了满足对秘密信息的实时性的需求,提出一种基于DCT域实时语音的信息隐藏方法.该方法使用DirectSound 对实时的语音进行捕获,依据人类听觉系统的掩蔽效应,选择DCT中的高频系数,通过量化秘密的音频信息将其嵌入到捕获的原始语音中,通过Socket技术对语音进行实时的传输,并且在秘密信息的提取过程中不需要原始音频载体信息的参与,实现秘密信息的盲提取.实验结果表明,在网络较好的情况下可以有效地借助实时的语音传递秘密信息.%To effectively simulate epidemic propagation in adaptive networks, the status of epidemic propagation in adaptive networks is analyzed. Based on the mechanism of interplay between node dynamics and network dynamics, a discrete SIS (susceptible-infected-susceptible) model for epidemic propagation in adaptive networks is proposed by computer simulation technology. The analysis and simulations for the proposed model show that epidemic propagates in adaptive networks can observe the bistab-lility state. In adaptive networks, the susceptible nodes usually avoid to contact with the infected nodes, leading to the change of network topology. The change will vary the degree distributions and also can suppress the spreading of infectious diseases.