An improved secret sharing using XOR-based Visual Cryptography

Purushothaman, Vandana; Sreedhar, Sreela

doi:10.1109/get.2016.7916633

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…They are distortion of luminance, contrast distortion, structure, and loss of correlation. UIQI is computed using equation (18).…”

Section: Universal Image Quality Indexmentioning

confidence: 99%

A study on secured encryption of medical images using significant visual cryptography

H M,

Rao,

Khan

et al. 2024

Eng. Res. Express

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The medical images of people are important and sensitive and cannot be shared with the public considering privacy measures. Maintaining the confidentiality of the medical image is essential, and leakage of such information can cause great loss. Therefore, the information has to be secured while being transferred through a third party, which can be any network medium. Thus, there is a need for developing a robust encryption algorithm. These algorithms improve the security of the ongoing pictures by compromising the nature of the picture and utilizing complex calculations. Algorithms that work on the nature of the picture by utilizing complex cycles, for example, error diffusion, halftoning, wavelet transform, and dithering, lead to time complexity. Thus, a compact and efficient cryptographic algorithm is proposed with fewer mathematical computations that ensure the secured transmission and reception of medical images through the medium using Significant Visual Cryptography (SVC). In SVC, initially, the quality of the secret images (SI) is improved by using the Error Abatement Technique (EAT). The output of EAT is used to generate random share values, which are then implanted in cover pictures. The shares that are transmitted do not reveal the secret information present in the original image because of the steganography features involved in this technique. The integrated check value (ICV) is calculated over the region of interest (ROI) at the encryption and decryption sides to provide additional security. Quality and security analyses have been carried out to ensure the robustness of the algorithm. The detailed study proved that the proposed algorithm beat the constraints of the current calculations. The concept of checking the integrity value and steganography features enhanced the effectiveness of the algorithm.

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“…They are distortion of luminance, contrast distortion, structure, and loss of correlation. UIQI is computed using equation (18).…”

Section: Universal Image Quality Indexmentioning

confidence: 99%

A study on secured encryption of medical images using significant visual cryptography

H M,

Rao,

Khan

et al. 2024

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…Shares are generated using XOR operation avoiding the pixel expansion. Then the generated shares are hided using another image using steganography which gives additional security to the original image [18].…”

Section: Related Workmentioning

confidence: 99%

An Efficient E2C2 Visual Cryptographic Technique to Secure Medical Images in Cloud Environment

Jolly,

2019

IJITEE

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Secure storage and easy retrieval of data is major concern for patients when medical data is stored over cloud platform. The unique features of cloud environment are high performance, data availability and security among which security of data stored in cloud environment is sensitive it can be easily attacked by intruders. Concerning medical images, while storing data, proper secure authentication method should be applied in order to avoid misuse of medical data. When this medical image is retrieved, the clarity of retrieved image should be high in order to determine the exact cause of sickness. This paper focuses on proposing a secure storage and retrieval of medical images stored in cloud with visual cryptographic technique using AES algorithm. The experimental results show that the proposed system is able to store images securely and retrieve medical images with high clarity.

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A Contrast Optimal Visual Cryptography Scheme for Half-Tone Images

Somwanshi¹,

Humbe

2021

Communications in Computer and Information Science

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An improved secret sharing using XOR-based Visual Cryptography

Cited by 9 publications

References 7 publications

A study on secured encryption of medical images using significant visual cryptography

A study on secured encryption of medical images using significant visual cryptography

An Efficient E2C2 Visual Cryptographic Technique to Secure Medical Images in Cloud Environment

A Contrast Optimal Visual Cryptography Scheme for Half-Tone Images

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