应用混沌和模糊聚类的自适应隐蔽通信算法(英文)

A novel covert communication algorithm with chaos and FCM

提出了一种新颖的基于DCT域的自适应信息隐蔽通信算法.首先对原始图像块的多特性参数进行模糊聚类,将图像块分成两类,一类适合隐藏信息,另一类不适合,其隶属度作为隐藏信息强度的自适应系数.将混沌系统产生的序列嵌入到通信载体上,利用混沌同步进行隐蔽信息的检测.仿真实验表明,该算法有较强的鲁棒性,同时能保证通信载体的隐藏信息质量,确保通信安全.

A novel adaptively information covert communication algorithm is proposed, which use the fuzzy c-means （FCM） to classify the original host image into two classes based on several characteristic parameters of human vision system （HVS） in digital image DCT-domain. One is suited for embedding the security information, the other is not. So the authors can select the appropriate blocks in an image to embed the security chaotic sequences, which can be detected by chaos synchronization. The simulation results show that the authors can remarkably extract the hiding security information and the algorithm can achieve good robustness and the quality of the image is guaranteed.