Reversible Data Hiding in Encrypted 2D Vector Graphics Based on Reversible Mapping Model for Real Numbers
Reversible Data Hiding in Encrypted 2D Vector Graphics Based on Reversible Mapping Model for Real Numbers
复制标题
基于实数可逆映射模型的加密二维矢量图形的可逆数据隐藏
DOI:
10.1109/tifs.2019.2899520
复制
发表时间:
2019-02
影响因子:
6.8
通讯作者:
Min Long
中科院分区:
文献类型:
--
作者:
Fei Peng;Zi-xing Lin;Xiang Zhang;Min Long
Currently, much attention has been paid to reversible data hiding (RDH) in an encrypted domain due to the popular deployment of cloud storage. However, nearly all existing RDH schemes in the encrypted domain are proposed for raster images, and very little work has been done to 2D vector graphics, which are represented in real numbers. In this paper, a reversible mapping model for real numbers is first built. It maps the points in <inline-formula> <tex-math notation="LaTeX">$R^{n}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$2^{s}$ </tex-math></inline-formula> non-intersecting subsets in <inline-formula> <tex-math notation="LaTeX">$R^{n}$ </tex-math></inline-formula>, which guarantees that <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula> bits can be embedded into each real number. Based on the model, an RDH scheme in encrypted 2D vector graphics is put forward. In the scheme, a user encrypts 2D engineering graphics and stores them in the cloud, and then the cloud service provider can perform information hiding, extraction, and even recover the encrypted 2D vector graphics. For the authorized user, it can acquire the recovered 2D vector graphics from the cloud and obtain their original versions after decryption. For an unauthorized user, he can only acquire the encrypted 2D vector graphics with a hidden message, and only approximate 2D vector graphics can be obtained even if he knows the decryption key but does not know the hiding key. The experimental results and analysis show that it can strike a good balance between security, distortion, and capacity. It provides a new paradigm for RDH in the encrypted domain for the data represented in real numbers.
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DOI:
10.4018/jdcf.2011010104
发表时间:
2011
期刊:
Int. J. Digit. Crime Forensics
影响因子:
--
作者:
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通讯作者:
Fei Peng;Yu-Zhou Lei
影响因子:
4.3
作者:
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DOI:
10.1109/icassp.2018.8461362
发表时间:
2018-04
期刊:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子:
--
作者:
Ioan-Catalin Dragoi;D. Coltuc
通讯作者:
Ioan-Catalin Dragoi;D. Coltuc
影响因子:
4.4
作者:
Dawen Xu;Rangding Wang
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影响因子:
56.9
作者:
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通讯作者:
C. J. Keyser