scholarly journals A Novel Hierarchical Secret Image Sharing Scheme with Multi-Group Joint Management

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 448 ◽  
Author(s):  
Zhen Wu ◽  
Yining Liu ◽  
Xingxing Jia
Keyword(s):  
System Analysis ◽  
Distributed Storage ◽  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Joint Management ◽  
Sharing Scheme ◽  
Multiple Clouds ◽  
Universal Applicability ◽  
Secret Image Sharing Scheme

With the spread of the Internet, the speed of data spread is getting faster and faster. It benefits us a lot but also brings us many potential security problems, especially the problem of privacy leakage. For example, more and more people choose to store their private images in the cloud. Secret image sharing as a significant method has been widely applied in protecting images in the cloud, which reduces the risks of data leakage and data loss. Generally, the secret image sharing scheme would encrypt the secret image into a series of shares and then stored these shares in a cloud. However, when this cloud has been attacked, the secret may meet a risk of leakage. A solution to solve the problem is that the generated shares are distributed storage in multiple clouds. Each cloud is independent and all clouds can have a collaboration to manage the secret image. To address this issue, a novel hierarchical secret image sharing scheme with multi-group joint management is proposed in this paper, which is suitable for protecting the security of the secret image by distributed storage over multiple clouds. In the proposed scheme, the secret image would be shared among multiple groups with different thresholds. The number of each group’s shareholders is determined by a sequence of thresholds. Therefore, the proposed scheme is a hierarchical secret image sharing scheme in which the secret image can be reconstructed if and only if the number of shares has met all threshold conditions. In addition, the generated shares have the same weight, which is more suitable for universal applicability. Both the system analysis and the simulation results prove that the proposed scheme is efficient and practical.

Distortion less secret image sharing scheme for Internet of Things system

2017 ◽  
Vol 22 (S1) ◽  
pp. 2293-2307 ◽  
Author(s):  
Li Li ◽  
M. Shamim Hossain ◽  
Ahmed A. Abd El-Latif ◽  
M. F. Alhamid
Keyword(s):  
Internet Of Things ◽  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
Secret Image Sharing Scheme

scholarly journals Efficient Secret Image Sharing Scheme with Authentication and Cheating Prevention

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lina Zhang ◽  
Xuan Dang ◽  
Li Feng ◽  
Junhan Yang
Keyword(s):  
Distributed Storage ◽  
Limited Resources ◽  
Secret Image Sharing ◽  
Authentication Codes ◽  
Authentication Code ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
Hash Algorithm ◽  
Security Levels

Due to the widespread adoption and popularity of digital images in distributed storage, Secret Image Sharing (SIS) has attracted much attention. However, preventing the cheating of shares is an important problem that needs to be solved in the traditional SIS scheme. An adversary without image shares may participate in the restoration phase as a share owner. In this phase, the adversary can obtain real shares or prevent recovering real images by submitting fake shadows. Our schemes are based on the original Thien-Lin’s scheme. In the scheme I, we use some XOR operations to get two authentication codes through all secret pixel values to achieve a lightweight and fast-calculated authentication scheme for cheating prevention. This scheme is suitable for small devices with limited resources. In scheme II, we use a hash algorithm to generate the authentication code. This scheme is suitable for environments with larger storage space and higher security levels. Since all pixel values are involved in the authentication in our proposed schemes, it can prevent fake shadow images from cheating. Meanwhile, the shadow size is almost the same as the original Thien-Lin’s scheme. Experimental results and theoretical analysis show that the proposed schemes are feasible and effective.

Progressive secret image sharing scheme using meaningful shadows

2016 ◽  
Vol 9 (17) ◽  
pp. 4075-4088 ◽  
Author(s):  
Zhi-Hui Wang ◽  
Ya-Feng Di ◽  
Jianjun Li ◽  
Chin-Chen Chang ◽  
Hui Liu
Keyword(s):  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
Secret Image Sharing Scheme

A novel secret image sharing scheme for true-color images with size constraint

2009 ◽  
Vol 179 (19) ◽  
pp. 3247-3254 ◽  
Author(s):  
Du-Shiau Tsai ◽  
Gwoboa Horng ◽  
Tzung-Her Chen ◽  
Yao-Te Huang
Keyword(s):  
Color Images ◽  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Sharing Scheme ◽  
True Color ◽  
Secret Image Sharing Scheme

scholarly journals Meaningful Secret Image Sharing Scheme with High Visual Quality Based on Natural Steganography

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1452
Author(s):  
Yuyuan Sun ◽  
Yuliang Lu ◽  
Jinrui Chen ◽  
Weiming Zhang ◽  
Xuehu Yan
Keyword(s):  
Visual Quality ◽  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Lossless Recovery ◽  
Sharing Scheme ◽  
Image Protection ◽  
Embedding Rate ◽  
Secret Image Sharing Scheme

The (k,n)-threshold Secret Image Sharing scheme (SISS) is a solution to image protection. However, the shadow images generated by traditional SISS are noise-like, easily arousing deep suspicions, so that it is significant to generate meaningful shadow images. One solution is to embed the shadow images into meaningful natural images and visual quality should be considered first. Limited by embedding rate, the existing schemes have made concessions in size and visual quality of shadow images, and few of them take the ability of anti-steganalysis into consideration. In this paper, a meaningful SISS that is based on Natural Steganography (MSISS-NS) is proposed. The secret image is firstly divided into n small-sized shadow images with Chinese Reminder Theorem, which are then embedded into RAW images to simulate the images with higher ISO parameters with NS. In MSISS-NS, the visual quality of shadow images is improved significantly. Additionally, as the payload of cover images with NS is larger than the size of small-sized shadow images, the scheme performs well not only in visual camouflage, but also in other aspects, like lossless recovery, no pixel expansion, and resisting steganalysis.

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