Privacy-Aware Reversible Watermarking in Cloud Computing Environments
Document Type
Article
Publication Date
1-1-2018
Abstract
As an interdisciplinary research between watermarking and cryptography, privacy-aware reversible watermarking permits a party to entrust the task of embedding watermarks to a cloud service provider without compromising information privacy. The early development of schemes was primarily based upon traditional symmetric-key cryptosystems, which involve an extra implementation cost of key exchange. Although recent research attentions were drawn to schemes compatible with asymmetric-key cryptosystems, there were notable limitations in the practical aspects. In particular, the host signal must either be enciphered in a redundant way or be pre-processed prior to encryption, which would largely limit the storage efficiency and scheme universality. To relax the restrictions, we propose a novel research paradigm and devise different schemes compatible with different homomorphic cryptosystems. In the proposed schemes, the encoding function is recognised as an operation of adding noise, whereas the decoding function is perceived as a corresponding denoising process. Both online and offline content-adaptive predictors are developed to assist watermark decoding for various operational requirements. A three-way tradeoff between the capacity, fidelity, and reversibility is analysed mathematically and empirically. It is shown that the proposed schemes achieve the state-of-the-art performance.
Identifier
85056593040 (Scopus)
Publication Title
IEEE Access
External Full Text Location
https://doi.org/10.1109/ACCESS.2018.2880904
e-ISSN
21693536
First Page
70720
Last Page
70733
Volume
6
Grant
690907
Fund Ref
Horizon 2020 Framework Programme
Recommended Citation
Chang, Ching Chun; Li, Chang Tsun; and Shi, Yun Qing, "Privacy-Aware Reversible Watermarking in Cloud Computing Environments" (2018). Faculty Publications. 9088.
https://digitalcommons.njit.edu/fac_pubs/9088
