Robust HDR video watermarking method based on the HVS model and T-QR

Du, Meng; Luo, Ting; Xu, Haiyong; Song, Yang; Wang, Chunpeng; Li, Li

doi:10.1007/s11042-022-13145-y

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…", Few attempts to apply steganography based on COVID19 frameworks or other medical data have been documented in the literature. Information confidentiality and integrity are maintained using two separate methods, steganography and cryptography [11]. Steganography is used to conceal hidden messages in digital material in a way that makes it impossible for anybody to discover their presence.…”

Section: Introductionmentioning

confidence: 99%

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

Jabbar¹,

Issa²

2023

IJEECS

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<span lang="EN-US">Nowadays, secure transmission massive volumes of medical data (such as COVID-19 data) are crucial but yet difficult in communication between hospitals. The confidentiality and integrity are two concerning challenges must be addressing to healthcare data. Also, the data availability challenge that related to network fail which may reason concerns to the arrival the COVID-19 data. The second challenge solved with the different tools such as virtual privet network (VPN) or blockchain technology. Towards overcoming the aforementioned for first challenges, a new scheme based on crypto steganography is proposed to secure updating (COVID-19) data. Three main contributions have been consisted within this study. The first contribution is responsible to encrypt the COVID-19 data prior to the embedding process, called hybrid cryptography (HC). The second contribution is related with the security in random blocks and pixels selection in hosting image. Three iterations of the Hénon Map function used with this contribution. The last contribution called inversing method which used with embedding process. <span>Three important measurements were used the peak signal-to-noise ratio (PSNR), the Histogram analysis and structural similarity index measure (SSIM). Based on the findings, the present scheme gives evidence to increase capacity, imperceptibility, and security to ovoid the existing methods problem.</span></span>

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Section: Introductionmentioning

confidence: 99%

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

Jabbar¹,

Issa²

2023

IJEECS

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“…It is essential to mention that several studies in image steganography and steganalysis focused on improving imperceptibility (embedding method). Based on this fact, the performance of the developed image steganography system was assessed in terms of the measures, including the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) [12], [16], [22]. One of the prerequisites of any data embedment procedure is imperceptibility which hides the bits into the cover image so that it remains invisible to the eye or statistics [23].…”

Section: Introductionmentioning

confidence: 99%

“…Over the years, image steganography and steganalysis developers have focused on improving the PSNR value while evaluating the image steganography system [12], [22]. However, although various proposed solutions enhanced the PSNR, they could not keep the payload capacity at an acceptable level [23].…”

Section: Introductionmentioning

confidence: 99%

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

Alsamaraee

Ali

2022

Bulletin EEI

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Image steganography and cryptography have been used widely due to the dramatic evolution of the internet of things (IoT) and the simplicity of capturing and transferring digital images. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. In the existing schemes, fixing one issue has been indicated to affect the other and vice versa. Based on the above challenges, a new scheme has been proposed for the Crypt-steganography scheme. The proposed scheme consists of three main contributions. The first contribution is hybrid additive cryptography (HAC), which is related to encrypting secret messages before the embedding process to ensure security. The HAC depends on ElGamal elliptic curve cryptosystem (ECC) with cubic Bézier curve to achieve text confidentiality. The second contribution is a bit interchange method (BIGM), which is related to the embedding process and solves the image's imperceptibility. The third contribution is a new image partitioning method (IPM). The IPM contribution increases the randomization of selecting the embedding pixels. The IPM proposes a random pixel selection based on three iterations of the Hénon Map function used with IPM. Different parameters are used to evaluate the proposed scheme. Based on the findings, the proposed scheme gives evidence to overcome existing challenges.

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