Distortionless visual multi-secret sharing based on random grid

Lin, Kai-Siang; Lin, Chih-Hung; Chen, Tzung‐Her

doi:10.1016/j.ins.2014.07.016

Cited by 28 publications

(5 citation statements)

References 22 publications

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“…Subsequently, many SIS schemes were proposed in the past decades. They focus on using different hiding methods to improve the efficiency of sharing [37]- [39], studying the degree of dependence on trusted third-party [40], and the flexibility and robustness of restoring images [38], [41].After carefully reviewing these references, the comprehensive comparison between the proposed scheme and the related SIS schemes are demonstrated in Table I. Note that, although all the above SIS schemes can protect the secret image from being obtained by the others without enough shadows, they cannot prevent the shadow images from being tampered and corrupted in communication networks, which will cause the secret image cannot be exactly restored.…”

Section: A Secret Image Sharingmentioning

confidence: 99%

“…The above approaches have demonstrated the security and effectiveness of blockchain techniques in wireless network environment, which inspire us to propose the blockchain-based secure and efficient secret image sharing with outsourcing computation in wireless networks. Compared with the traditional secret sharing schemes without blockchain [41], [53]- [57]], our scheme has the following unique advantages in terms of the security performance. (1) Anti-tampering ability to verify the validity of the data [58]- [60], (2) the transparency of allowing nodes in the network to obtain information [61], [62], and (3) the interactivity of multi-party security cooperation without a third-party organization [63]- [65].…”

Section: B Blockchain Technologiesmentioning

confidence: 99%

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Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks

Zhou

Wan

Chen

et al. 2024

IEEE Trans. Wireless Commun.

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Secret Image Sharing (SIS) is the technology that shares any given secret image by generating and distributing n shadow images in the way that any subset of k shadow images can restore the secret image. However, in the existing SIS schemes, the shadow images will be easily tampered and corrupted during the communication, which will pose serious security issues. Recently, blockchain has emerged as a promising paradigm in the field of data communication and information security. To securely communicate and effectively protect the secret image data in wireless networks, we propose a Blockchain-based Secure and Efficient Secret Image Sharing (BC-SESIS) scheme with outsourcing computation in wireless networks. In the proposed BC-SESIS scheme, the shadow images are encrypted and stored in the blockchain to prevent them from being tampered and corrupted. The identity authentication-enabled smart contract is deployed to achieve the (k, n) threshold for secret image restoring. Furthermore, to reduce the computational burden of smart contract and users, an efficient outsourcing computation method is designed to outsource the restoring task, which is securely implemented by agent miners in the encryption domain. Theoretical analysis and extensive experiments demonstrate that the BC-SESIS scheme can achieve desirable communication security and high computational efficiency in the wireless networks.

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Section: A Secret Image Sharingmentioning

confidence: 99%

Section: B Blockchain Technologiesmentioning

confidence: 99%

Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks

Zhou

Wan

Chen

et al. 2024

IEEE Trans. Wireless Commun.

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“…A secret image and n cover images are encoded in n share images in such a way that the stacking of all n share images will reveal the secret image while from any less than n share images, no information can be revealed. Lin et al [11] proposed a novel random grid based MSIS scheme. Secrets images are encoded into two pie shared images and it can be decoded by stacking one pie share on another at different angle of rotation.…”

Section: Related Workmentioning

confidence: 99%

A Technique to Share Multiple Secret Images

Rajput,

Deshmukh

2016

Preprint

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Visual Cryptography comes under cryptography domain. It deals with encrypting and decrypting of visual information like pictures, texts, videos etc. Multi Secret Image Sharing (MSIS) scheme is a part of visual cryptography that provides a protected method to transmit more than one secret images over a communication channel. Conventionally, transmission of a single secret image is possible over a channel at a time. But as technology grows, there emerge a need for sharing more than one secret image. An (n, n)-MSIS scheme is used to encrypt n secret images into n meaningless noisy images that are stored over different servers. To recover n secret images all n noisy images are required. At earlier time, the main problem with secret sharing schemes was that attacker can partially figure out secret images, even by getting access of n − 1 or fewer noisy images. To tackle with this security issue, there arises a need of secure MSIS scheme, so that attacker can not retrieve any information by using less than n − 1 noisy images. In this paper, we propose a secure (n, n + 1)-MSIS scheme using additive modulo operation for grayscale and colored images. For checking the effectiveness of proposed scheme; Correlation, MSE and PSNR techniques are used. The experimental results show that the proposed scheme is highly secured and altering of noisy images will not reveal any partial information about secret images. The proposed (n, n + 1)-MSIS scheme outperforms the existing MSIS schemes in terms of security.

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“…By taking practicality into account, many variations of the main VSS scheme have been presented by various authors for encryption of halftone [4,6,7,8,9,18], grayscale [15] and colored images [13,18]. These papers demonstrate that increasing the carrying capacity of secrets affects the contrast and distortion of decrypted secret.…”

Section: Algorithm 1: Random_grid_algorithmmentioning

confidence: 99%

Multiple Information Hiding using Cubical Approach on Random Grids

Gurung¹,

Choudhury²,

Parmar³

et al. 2015

IJCNIS

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The exponential growth of data and our dependence on it has increased security concerns over the protection of data. Various methodologies have been suggested to meet the security services namely; confidentiality, authentication and authorization. The (k:n) secret sharing scheme was recommended to isolate the dependence on a single entity for the safety of data. Random Grids Visual Secret Sharing (RGVSS), a category of a Visual Cryptography Secret Sharing scheme aims at encrypting a secret image into several shares using a simple algorithm. The encrypted information can be revealed by stacking the shares which can be recognized by the Human Visual System (HVS). The proposed VSS scheme exploits the geometrical configuration of the cube without distorting any of the secret information embedded on the shares. The rest of the secrets are decrypted by stacking the cubes and changing the orientation of one of the cube over the fixed one. Each side of the cube encrypts up to four secrets, the first secret can be decrypted by stacking the two cubical shares and rotating the stacked face of the cube at 90 degrees, 180 degrees and 270 degrees, reveals the other three shares respectively The proposed scheme increases the capacity of secret communication avoiding the pixel expansion problem which in turn reduces the overhead of storage and communication significantly without compromising on security and authenticity of the secret information.

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Distortionless visual multi-secret sharing based on random grid

Cited by 28 publications

References 22 publications

Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks

Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks

A Technique to Share Multiple Secret Images

Multiple Information Hiding using Cubical Approach on Random Grids

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