Lossless embedding of depth hints in JPEG compressed color images

Jung, Seung-Won

doi:10.1016/j.sigpro.2015.11.018

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Note that Γ × Γ T = I q . The matrix product (Γ × S m ) in (16) describes the shuffling operation. Mathematically speaking, breaking the shuffling and stream cipher systems means the estimation of Γ and V .…”

Section: Data Insertionmentioning

confidence: 99%

“…Because the cloud user (acting as an attacker here) can have full control over the data to insert (see Fig. 1(b) with the same shuffling and encryption keys by using (16). That is,…”

Section: Data Insertionmentioning

confidence: 99%

“…In view of (21), it is clear that by varying n in [1, q] the attacker can construct Γ completely. Once Γ is estimated, the attacker uses (16) to estimate V as follows…”

Section: Data Insertionmentioning

confidence: 99%

“…A number of attempts have also considered RDH in the compressed domain [15,16,17]. Moreover, inspired by existing works on information processing in the encrypted domain, encryption was initially used in RDH systems to protect the content of the host image [18,19,20].…”

Section: Introductionmentioning

confidence: 99%

“…Such a feature does not exist in current RDH-EI systems to the best of our knowledge. It is worth mentioning that the techniques in [15,16] differ from the proposed system and RDHEI techniques in that a small payload is embedded in the JPEG file header without altering the compressed image content. The novelty of this work can be summarized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Secure and privacy-preserving data sharing in the cloud based on lossless image coding

et al. 2018

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Image and video processing in the encrypted domain has recently emerged as a promising research area to tackle privacyrelated 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.

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Section: Data Insertionmentioning

confidence: 99%

“…Because the cloud user (acting as an attacker here) can have full control over the data to insert (see Fig. 1(b) with the same shuffling and encryption keys by using (16). That is,…”

Section: Data Insertionmentioning

confidence: 99%

“…In view of (21), it is clear that by varying n in [1, q] the attacker can construct Γ completely. Once Γ is estimated, the attacker uses (16) to estimate V as follows…”

Section: Data Insertionmentioning

confidence: 99%