An enhancing reversible data hiding for secured data using shuffle block key encryption and histogram bit shifting in cloud environment

Senthilnathan, T.; Prabu, P.; Sivakumar, R.; Sakthivel, S. M.

doi:10.1007/s10586-018-1765-3

Cited by 18 publications

(5 citation statements)

References 22 publications

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“…The original data of an owner is encrypted using the ECC algorithm, which applies some fully homomorphic (FH) operation on the encrypted data before storing it during cloud computation. A study 15 proposed an encryption approach through reversible data hiding (RDH) technique for cloud computation. RDH encrypts an image by embedding hidden data using a bit shifting algorithm.…”

Section: Related Workmentioning

confidence: 99%

Framework of data privacy preservation and location obfuscation in vehicular cloud networks

Al-Balasmeh

Singh

2021

Concurrency and Computation

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Summary The leakage of sensitive data of users and global positioning system location trajectories from different cloud computation sources have increased in daily lives. This critical problem can influence users' lives because attackers try to misuse the leaked information. In this study, we addressed the critical problem pertaining to the privacy of personal identification information (PII) and location information over vehicular cloud networks (VCNs). The problem was addressed by proposing a data and location privacy (DLP) framework that preserves data privacy in terms of the anonymity of PII and provides location privacy for users' trajectories through the obfuscation technique. The proposed DLP framework contains five stages: registration with VCN server, processing of PII/data privacy block, segregation of obfuscation data, authentication, and provision of cryptographic security. The result analysis shows that the proposed mechanism is able to generate obfuscated trajectories and successfully recomputes the original trajectories at the server side.

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Section: Related Workmentioning

confidence: 99%

Framework of data privacy preservation and location obfuscation in vehicular cloud networks

Al-Balasmeh

Singh

2021

Concurrency and Computation

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“…The first category is the spatial domain which consists of a watermark embedding directly into the image. The second category of the algorithm is embedding in the transform domain [11]. When the watermark is embedded in the frequency domain, the benefits are, the spectral components better capture the peculiarities of the human visual system (HVS).…”

Section: Introductionmentioning

confidence: 99%

A new highly fractal 1D- chaotic map-based novel encryption on HVS-based watermarked Fundus images for 2-level security in teleophthalmology applications

Amrutha,

Kannammal

2023

Phys. Scr.

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In recent years the combination of medical image watermarking and encryption is becoming popular due to a better trade-off between authenticity and security, since, each of these methods alone is insufficient to offer complete security. In the proposed work,the watermark is embedded into the Fundus image using the Singular Value Decomposition (SVD) of the La*b* space image of the Fundus image. The scaling factor is selected based on the HVS property of the human eye. The proposed embedding algorithm is semi-blind because the system requires the singular values (s) of the La*b* image at the receiver side in order to extract the watermark. To improve security, the authenticated image then undergoes 2-levels of confusion process followed by diffusion for encryption. For diffusion, the key is generated from the newly developed Modified Sine-Logistic Chaotic System (MSLCS), which is constructed by the combination of logistic map and sine map. The performance evaluation of the new chaotic system has been done in terms of the Bifurcation diagram, Lyapunov exponent, Phase portrait and Entropy. Also, Different tests such as Blood vessel segmentationand Retinal object identification were carried out on the original image, watermarked image, decrypted image and recovered image. The results show that the embedding of watermarks followed by encryption, on Fundus images does not affect the diagnosis and identification of retinal objects. Correct decryption, secured recovery of Fundus image and guaranteed extraction ofthe watermark at the receiver side make the proposed system secure for Fundus images in tele-ophthalmology applications.

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“…Frequency methods remain more recent methods whose principle is to insert the mark not directly in the image but in the transformed domain. To obtain the marked image, inverse transform is performed [ 8 ]. These methods are more resistant to geometric attacks [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

A robust blind medical image watermarking approach for telemedicine applications

et al. 2021

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In order to enhance the security of exchanged medical images in telemedicine, we propose in this paper a blind and robust approach for medical image protection. This approach consists in embedding patient information and image acquisition data in the image. This imperceptible integration must generate the least possible distortion. The watermarked image must present the same clinical reading as the original image. The proposed approach is applied in the frequency domain. For this purpose, four transforms were used: discrete wavelets transform, non-subsampled contourlet transform, non-subsampled shearlet transform and discreet cosine transform. All these transforms was combined with Schur decomposition and the watermark bits were integrated in the upper triangular matrix. To obtain a satisfactory compromise between robustness and imperceptibility, the integration was performed in the medium frequencies of the image. Imperceptibility and robustness experimental results shows that the proposed methods maintain a high quality of watermarked images and are remarkably robust against several conventional attacks. Keywords Medical image Á Digital watermarking Á Discrete wavelet transform Á Non-subsampled contourlet transform Á Non-subsampled shearlet transform Á Discreet cosine transform Á Schur decomposition

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An enhancing reversible data hiding for secured data using shuffle block key encryption and histogram bit shifting in cloud environment

Cited by 18 publications

References 22 publications

Framework of data privacy preservation and location obfuscation in vehicular cloud networks

Framework of data privacy preservation and location obfuscation in vehicular cloud networks

A new highly fractal 1D- chaotic map-based novel encryption on HVS-based watermarked Fundus images for 2-level security in teleophthalmology applications

A robust blind medical image watermarking approach for telemedicine applications

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