Privacy-Aware Reversible Watermarking in Cloud Computing Environments
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 tr...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8534338/ |
| _version_ | 1818329553739710464 |
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| author | Ching-Chun Chang Chang-Tsun Li Yun-Qing Shi |
| author_facet | Ching-Chun Chang Chang-Tsun Li Yun-Qing Shi |
| author_sort | Ching-Chun Chang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T12:49:54Z |
| format | Article |
| id | doaj.art-bd7cb1e6f16d4e89bc3183f404858156 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T12:49:54Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bd7cb1e6f16d4e89bc3183f4048581562022-12-21T23:45:22ZengIEEEIEEE Access2169-35362018-01-016707207073310.1109/ACCESS.2018.28809048534338Privacy-Aware Reversible Watermarking in Cloud Computing EnvironmentsChing-Chun Chang0https://orcid.org/0000-0001-7723-4591Chang-Tsun Li1Yun-Qing Shi2Department of Computer Science, University of Warwick, Coventry, U.K.School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW, AustraliaDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USAAs 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.https://ieeexplore.ieee.org/document/8534338/Cloud computingcyber securityhomomorphic cryptosystemsinformation privacyreversible watermarkingsignal denoising |
| spellingShingle | Ching-Chun Chang Chang-Tsun Li Yun-Qing Shi Privacy-Aware Reversible Watermarking in Cloud Computing Environments IEEE Access Cloud computing cyber security homomorphic cryptosystems information privacy reversible watermarking signal denoising |
| title | Privacy-Aware Reversible Watermarking in Cloud Computing Environments |
| title_full | Privacy-Aware Reversible Watermarking in Cloud Computing Environments |
| title_fullStr | Privacy-Aware Reversible Watermarking in Cloud Computing Environments |
| title_full_unstemmed | Privacy-Aware Reversible Watermarking in Cloud Computing Environments |
| title_short | Privacy-Aware Reversible Watermarking in Cloud Computing Environments |
| title_sort | privacy aware reversible watermarking in cloud computing environments |
| topic | Cloud computing cyber security homomorphic cryptosystems information privacy reversible watermarking signal denoising |
| url | https://ieeexplore.ieee.org/document/8534338/ |
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