@Article{cmes.2020.010636,
AUTHOR = {Yang Pei, Xiangyang Luo, Yi Zhang, Liyan Zhu},
TITLE = {Multiple Images Steganography of JPEG Images Based on Optimal Payload Distribution},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {125},
YEAR = {2020},
NUMBER = {1},
PAGES = {417--436},
URL = {http://www.techscience.com/CMES/v125n1/40225},
ISSN = {1526-1506},
ABSTRACT = {Multiple images steganography refers to hiding secret messages in
multiple natural images to minimize the leakage of secret messages during
transmission. Currently, the main multiple images steganography algorithms
mainly distribute the payloads as sparsely as possible in multiple cover images
to improve the detection error rate of stego images. In order to enable the
payloads to be accurately and efficiently distributed in each cover image, this
paper proposes a multiple images steganography for JPEG images based on
optimal payload redistribution. Firstly, the algorithm uses the principle of
dynamic programming to redistribute the payloads of the cover images to
reduce the time required in the process of payloads distribution. Then, by
reducing the difference between the features of the cover images and the stego
images to increase the detection error rate of the stego images. Secondly,
this paper uses a data decomposition mechanism based on Vandermonde
matrix. Even if part of the data is lost during the transmission of the secret
messages, as long as the data loss rate is less than the data redundancy rate,
the original secret messages can be recovered. Experimental results show that
the method proposed in this paper improves the efficiency of payloads distribution compared with existing multiple images steganography. At the same
time, the algorithm can achieve the optimal payload distribution of multiple
images steganography to improve the anti-statistical detection performance
of stego images.},
DOI = {10.32604/cmes.2020.010636}
}