Privacy-aware reversible watermarking in cloud computing environments

Chang, Chin-Chun, Li, Chang-Tsun and Shi, Yun-Qing 2018, Privacy-aware reversible watermarking in cloud computing environments, IEEE access, vol. 6, pp. 70720-70733, doi: 10.1109/ACCESS.2018.2880904.

Attached Files
Name Description MIMEType Size Downloads

Title Privacy-aware reversible watermarking in cloud computing environments
Author(s) Chang, Chin-Chun
Li, Chang-TsunORCID iD for Li, Chang-Tsun orcid.org/0000-0003-4735-6138
Shi, Yun-Qing
Journal name IEEE access
Volume number 6
Start page 70720
End page 70733
Total pages 14
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2018
ISSN 2169-3536
Keyword(s) cloud computing
cyber security
homomorphic cryptosystems
information privacy
reversible watermarking
signal denoising
statistical inference
variational method
Science & Technology
Technology
Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Summary 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.
Language eng
DOI 10.1109/ACCESS.2018.2880904
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119667

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 100 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 12 Mar 2019, 14:08:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.