Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications

Thakur, Sriti; Singh, Amit Kumar; Ghrera, Satya Prakash; Elhoseny, Mohamed

doi:10.1007/s11042-018-6263-3

Cited by 195 publications

(75 citation statements)

References 31 publications

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“…Thakur et al [27] using DWT-DCT-SVD in which the combination of these methods can improve the robustness. Their research used two-dimensional logistic map based chaotic encryption to improve security.…”

Section: Resultsmentioning

confidence: 99%

A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

Novamizanti¹,

Wahidah²,

Wardana³

2020

IJIES

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One way to prevent image duplication is by applying watermarking techniques. In this work, the watermarking process is applied to medical images using the Fast Discrete Curvelet Transforms (FDCuT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) methods. The medical image of the host is transformed using FDCuT so that three subbands are obtained. High Frequency (HF) subband selected for DCT and SVD applications. Meanwhile, SVD was also applied to the watermark image. The singular value on the host image is exchanged with the singular value on the watermark. Insertion of tears by exchanging singular values does not cause the quality of medical images to decrease significantly. The experimental results prove that the proposed FDCuT-DCT-SVD algorithm produces good imperceptibility. The proposed algorithm is also resistant to various types of attacks, including JPEG compression, noise enhancement attacks, filtering attacks, and other common attacks.

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Section: Resultsmentioning

confidence: 99%

A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

Novamizanti¹,

Wahidah²,

Wardana³

2020

IJIES

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“…Another robust and indiscernible watermarking algorithm proposed by author is LWT-SVD [20]. A robust watermarking algorithm based on DWT-DCT-SVD and chaotic encryption has also been presented by researchers [21].…”

Section: Related Workmentioning

confidence: 99%

Monitoring of Epileptical Patients Using Cloud-Enabled Health-IoT System

Gupta¹,

Chakraborty²,

Gupta³

2019

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The health Internet of Things (IoT) lays the basis for emergency care for epileptic patients. The security of data transmission in the network calls for a robust monitoring technique. This paper proposes a monitoring model for epileptic patients, using a cloud-based health IoT system. To ensure the data security, watermarking was carried out through discrete wavelet transform-singular value decomposition (DWT-SVD), followed by short time Fourier transform (STFT). The proposed watermarking scheme, which is based on STFT and DWT-SVD, was verified on electroencephalography (EEG) data of class Z and class S. The results show that our scheme achieved a good watermarking performance, with a peak signal-to-noise ratio (PSNR) of 35.25 and a signal-to-noise ratio (SNR) of 31.32.

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“…The substance will be confirmed by separating the implanted watermark. In the event that no watermark can be extricated, it implies the article got has been messed with [2,3].…”

Section: Figure 1: the Watermark Embedding And Detection Processmentioning

confidence: 99%

“…In visually impaired strategies the first media isn't required to separate the watermarking data. Security is an important issue which requires the watermark to be modified only by the owner [2].…”

Section: Introductionmentioning

confidence: 99%

Data Hiding and Compression Encryption through Discrete Wavelet Transform and Block Coding

Dwivedi¹,

Nair²

2019

IJCA

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The ubiquitous nature of digital network systems means that digital documents can be copied and distributed easily to large numbers of people with no cost. Individuals can download sound, picture and video records, and they can impart them to companions and they can control or adjust their unique substance. This is the reason there is an earnest need to ensure the copyright of such media. There are various advances that will give insurance from unlawful replicating. Advanced watermarking calculations were created to take care of this issue. To secure and less space data hiding and compression encryption through discrete shearlet transform (DST) and block based coding algorithm is present paper. According to efficient scheme is increase PSNR (peak signal to noise ratio), SSIM (similarity index) and decrease mean square error (MSE).

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Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications

Cited by 195 publications

References 31 publications

A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

Monitoring of Epileptical Patients Using Cloud-Enabled Health-IoT System

Data Hiding and Compression Encryption through Discrete Wavelet Transform and Block Coding

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