Data Communication Security Based on Novel Reversible Mean Shift Steganography Algorithm

With the popularity of node data to the sink-node in wireless sensor networks (WSNs), it is vital to protect the privacy of data and enable the sink-node to easily manage the data at the same time. Under such demands, reversible data steganography in encrypted images attracts more and more researchers' attention. In this paper, we propose a novel reversible mean shift steganography algorithm for improving the security of data communication in WSNs. The algorithm first calculates the l, α, and β sub-components after removing the l component of the original image. At the same time, we use mean shift clustering algorithm to calculate the 3-dimensional regional maximum points based on l, α, and β components and mark them. Finally, the secret information is encoded and hidden in the corresponding extreme points of the Bit plane 0 of the sub-components, and then scrambled with the key. The extensive experimental results show that the proposed algorithm has little influence on the original image, and the histogram is almost the same, and the average error bit ratio (EBR) is only 0.164%.