Privacy-preserving reversible information hiding based on arithmetic of quadratic residues

Chang, Ching-Chun, Li, Chang-Tsun and Chen, Kaimeng 2019, Privacy-preserving reversible information hiding based on arithmetic of quadratic residues, IEEE access, vol. 7, pp. 54117-54132, doi: 10.1109/ACCESS.2019.2908924.

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Title Privacy-preserving reversible information hiding based on arithmetic of quadratic residues
Author(s) Chang, Ching-Chun
Li, Chang-TsunORCID iD for Li, Chang-Tsun orcid.org/0000-0003-4735-6138
Chen, Kaimeng
Journal name IEEE access
Volume number 7
Start page 54117
End page 54132
Total pages 16
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
2169-3536
Keyword(s) Cloud computing
Data privacy
Information hiding
Number theory
Symmetric ciphers
Summary The phenomenal advances of cloud computing technology have given rise to the research area of privacy-preserving signal processing, which aims to preserve information privacy even when the signals are processed in an insecure environment. Privacy-preserving information hiding is a multidisciplinary study that has opened up a great deal of intriguing real-life applications, such as data exfiltration prevention, data origin authentication, and electronic data management. Information hiding is a practice of embedding intended messages into carrier signals through imperceptible alterations. In view of some content-sensitive scenarios, however, the ability to preserve perfect copies of signals is of crucial importance, for instance, considering the inadequate robustness of recent artificial intelligence-aided automated systems against noise perturbations. Reversibility of information hiding systems is a valuable property that permits recovery of original carrier signals if desired. In this paper, we propose a novel privacy-preserving reversible information hiding scheme inspired by the mathematical concept of quadratic residues. A quadratic residue has four (not necessarily distinct) square roots, which enables payloads to be encoded in a dynamic fashion. Furthermore, a predictive model based upon the projection theorem is devised to assist carrier signal recovery. The experimental results showed significant improvements over the state-of-the-art methods with regard to capacity, fidelity, and reversibility.
Language eng
DOI 10.1109/ACCESS.2019.2908924
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122339

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