Yun Tan1, Jiaohua Qin1, *, Hao Tang2, Xuyu Xiang1, Ling Tan2, Neal N. Xiong3
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1797-1817, 2020, DOI:10.32604/cmc.2020.010802
Abstract With the development of the internet of medical things (IoMT), the privacy
protection problem has become more and more critical. In this paper, we propose a
privacy protection scheme for medical images based on DenseNet and coverless
steganography. For a given group of medical images of one patient, DenseNet is used to
regroup the images based on feature similarity comparison. Then the mapping indexes
can be constructed based on LBP feature and hash generation. After mapping the privacy
information with the hash sequences, the corresponding mapped indexes of secret
information will be packed together with the medical images group and… More >
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