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Secure and privacy-preserving data sharing in the cloud based on lossless image coding
Khelifi, Fouad1; Brahimi, Tahar2; Han, Jungong3; Li, Xuelong4,5
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Image and video processing in the encrypted domain has recently emerged as a promising research area to tackle privacy-related data processing issues. In particular, reversible data hiding in the encrypted domain has been suggested as a solution to store and manage digital images securely in the cloud while preserving their confidentiality. However, although efficiency has been claimed with reversible data hiding techniques in encrypted images (RDHEI), reported results show that the cloud service provider cannot add more than 1 bit per pixel (bpp) of additional data to manage stored images. This paper highlights the weakness of RDHEI as a suggested approach for secure and privacy-preserving cloud computing. In particular, we propose a new, simple, and efficient approach that offers the same level of data security and confidentiality in the cloud without the process of reversible data hiding. The proposed idea is to compress the image via a lossless image coder in order to create space before encryption. This space is then filled with a randomly generated sequence and combined with an encrypted version of the compressed bit stream to form a full resolution encrypted image in the pixel domain. The cloud service provider uses the created room in the encrypted image to add additional data and produces an encrypted image containing additional data in a similar fashion. Assessed with the lossless Embedded Block Coding with Optimized Truncation (EBCOT) algorithm on natural images, the proposed scheme has been shown to exceed the capacity of 3 bpp of additional data while maintaining data security and confidentiality. (C) 2018 Elsevier B.V. All rights reserved.


KeywordReversible Data Hiding Encryption Confidentiality Security Capacity Privacy-preserving Cloud
Indexed BySCI ; EI
WOS IDWOS:000428824600010
EI Accession Number20180804821153
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Northumbria Univ, Dept Comp & Informat Sci, Newcastle Upon Tyne NE2 1XE, Tyne & Wear, England;
2.Jijel Univ, Dept Elect, Jijel 18000, Algeria;
3.Univ Lancaster, Sch Comp & Commun, Lancaster LA1 4YW, England;
4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China;
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Khelifi, Fouad,Brahimi, Tahar,Han, Jungong,et al. Secure and privacy-preserving data sharing in the cloud based on lossless image coding[J]. SIGNAL PROCESSING,2018,148:91-101.
APA Khelifi, Fouad,Brahimi, Tahar,Han, Jungong,&Li, Xuelong.(2018).Secure and privacy-preserving data sharing in the cloud based on lossless image coding.SIGNAL PROCESSING,148,91-101.
MLA Khelifi, Fouad,et al."Secure and privacy-preserving data sharing in the cloud based on lossless image coding".SIGNAL PROCESSING 148(2018):91-101.
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