Open Access
ARTICLE
Privacy Protection for Medical Images Based on DenseNet and Coverless Steganography
Yun Tan1, Jiaohua Qin1, *, Hao Tang2, Xuyu Xiang1, Ling Tan2, Neal N. Xiong3
1 College of Computer Science and Information Technology, Central South University of Forestry &
Technology, Changsha, 410114, China.
2 The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
3 Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, 74464, USA.
* Corresponding Author: Jiaohua Qin. Email: .
Computers, Materials & Continua 2020, 64(3), 1797-1817. https://doi.org/10.32604/cmc.2020.010802
Received 30 March 2020; Accepted 29 April 2020; Issue published 30 June 2020
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 released to the
authorized user. The user can extract the privacy information successfully with a similar
method of feature analysis and index construction. The simulation results show good
performance of robustness. And the hiding success rate also shows good feasibility and
practicability for application. Since the medical images are kept original without
embedding and modification, the performance of crack resistance is outstanding and can
keep better quality for diagnosis compared with traditional schemes with data embedding.
Keywords
Cite This Article
Y. Tan, J. Qin, H. Tang, X. Xiang, L. Tan
et al., "Privacy protection for medical images based on densenet and coverless steganography,"
Computers, Materials & Continua, vol. 64, no.3, pp. 1797–1817, 2020. https://doi.org/10.32604/cmc.2020.010802
Citations