An adaptive secret image sharing with a new bitwise steganographic property

Zarepour-Ahmadabadi, Jamal; Ahmadabadi, MohammadEbrahim Shiri; Latif, Alimohammad

doi:10.1016/j.ins.2016.07.001

Cited by 36 publications

(7 citation statements)

References 38 publications

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“…Compared with Shamir-based SIS, CA-based SIS [12,15,26,27] has more advantages: (1) the computation complexity of CA-based SIS is only O(n), which is more efficient while Shamir-based SIS needs O(n log n); (2) the consecutive properties in CA provide a stronger security guarantee for the secret image. Nevertheless, most CA-based SIS schemes also exist in some problems: (1) only consecutive shadows can reveal the secret image [15,26,27] which limited the availability and (2) the pixel expansion problem still exists. e scheme of Eslami et al [15] is the first CAbased SIS, which improved tamper detection.…”

Section: Sismentioning

confidence: 99%

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A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Qin

Tan

Zhou

et al. 2021

Security and Communication Networks

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With the development and innovation of new techniques for 5G, 5G networks can provide extremely large capacity, robust integrity, high bandwidth, and low latency for multimedia image sharing and storage. However, it will surely exacerbate the privacy problems intrinsic to image transformation. Due to the high security and reliability requirements for storing and sharing sensitive images in the 5G network environment, verifiable steganography-based secret image sharing (SIS) is attracting increasing attention. The verifiable capability is necessary to ensure the correct image reconstruction. From the literature, efficient cheating verification, lossless reconstruction, low reconstruct complexity, and high-quality stego images without pixel expansion are summarized as the primary goals of proposing an effective steganography-based SIS scheme. Compared with the traditional underlying techniques for SIS, cellular automata (CA) and matrix projection have more strengths as well as some weaknesses. In this paper, we perform a complimentary of these two techniques to propose a verifiable secret image sharing scheme, where CA is used to enhance the security of the secret image, and matrix projection is used to generate shadows with a smaller size. From the steganography perspective, instead of the traditional least significant bits replacement method, matrix encoding is used in this paper to improve the embedding efficiency and stego image quality. Therefore, we can simultaneously achieve the above goals and achieve proactive and dynamic features based on matrix projection. Such features can make the proposed SIS scheme more applicable to flexible 5G networks. Finally, the security analysis illustrates that our scheme can effectively resist the collusion attack and detect the shadow tampering over the persistent adversary. The analyses for performance and comparative demonstrate that our scheme is a better performer among the recent schemes with the perspective of functionality, visual quality, embedding ratio, and computational efficiency. Therefore, our scheme further strengthens security for the images in 5G networks.

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Section: Sismentioning

confidence: 99%

“…It is easy to design SIS with verification ability by using hash codes [16][17][18] or information hiding [15,26,31]. Chang et al [14] used the Chinese remainder theorem (CRT) to generate four authentication bits by using the hash function in order to obtain better authentication ability.…”

Section: Verifiable Sismentioning

confidence: 99%

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Qin

Tan

Zhou

et al. 2021

Security and Communication Networks

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“…Yang et al [33] further improved Lin and Tsai's method [12]. More enhancements can refer to [3] [37] [39].…”

Section: Introductionmentioning

confidence: 99%

Boolean-based Two-in-One Secret Image Sharing by Adaptive Pixel Grouping

Peng

2023

ACM Trans. Multimedia Comput. Commun. Appl.

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The two-in-one secret image sharing (TiOSIS) technique is a hybrid scheme that protects a secret image by combining visual cryptography (VCS) and polynomial-based secret image sharing (PSIS). There are two decoding methods available in TiOSIS: stacking-to-see decryption and lossless image recovery. However, the majority of current TiOSIS methods use Lagrange interpolation to precisely reconstruct the secret, which would result in intense computations. In this paper, an efficient TiOSIS scheme using Boolean XOR operation for lossless image recovery is proposed. The proposed scheme consists of three building blocks: shared data generation, shadow construction, and image decryption. In shared data generation, the grayscale secret image is processed by a Boolean-based SIS to derive the shared bits. In shadow construction, an adaptive pixel grouping strategy is utilized to determine a grouping pattern. The halftone image adjustment algorithm is adopted to generate a suitable halftone image. With the grouping pattern and halftone image, we construct the shadows via the group-pixel embedding and sharing approach. In image decryption, we can reveal the secret image by stacking-to-see decoding or Boolean-based lossless image recovery. Extensive experiments and comparisons are illustrated to show the effectiveness and benefits of the proposed scheme.

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“…Then, their scheme uses watermarking to provide the capability to verify shares, thereby preventing share spoofing attacks. Secret sharing can effectively ensure the security of secret information, but the traditional secret sharing schemes (e.g., [8][9][10][11][12]) cannot adjust the threshold value. However, in reality, the threshold value must be adjusted when the security policy or the adversary model changes.…”

Section: Introductionmentioning

confidence: 99%

A Novel Threshold Changeable Secret Image Sharing Scheme

Wang

et al. 2021

Symmetry

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In secret image sharing, the image is divided into several stego images, which are managed by corresponding participants. The secret image can be recovered only when the number of authorized participants is no less than the threshold. Thus, it is widely used to protect essential images, such as engineering drawings and product design drawings. In the traditional secret image sharing scheme, the threshold is fixed and unique. However, in practice, the security policy and the adversarial structure may change; therefore, the threshold must be adjusted dynamically. In this paper, we propose a novel secret image sharing scheme with a changeable threshold capability. Our scheme eliminates the limit of the changeable threshold and reduces the computation required. Also, our scheme is the first threshold changeable secret image sharing scheme that can recover an undistorted cover image. The theoretical analysis shows that our scheme is safe even if the threshold is changed. The experiments demonstrated that the stego image generated by our algorithm has better quality than other changeable-threshold, secret image sharing algorithms.

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An adaptive secret image sharing with a new bitwise steganographic property

Cited by 36 publications

References 38 publications

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Boolean-based Two-in-One Secret Image Sharing by Adaptive Pixel Grouping

A Novel Threshold Changeable Secret Image Sharing Scheme

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