Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain

Luan, Guangyu; Li, Aichuan; Zhang, Dongmei; Dong-xin, Wang

doi:10.1109/jphot.2018.2886295

Cited by 21 publications

(10 citation statements)

References 32 publications

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“…Authenticating through the means of encrypted images is not a new idea. In [1], Luan Guangyu proposed a new encryption scheme and authentication of asymmetric images based on equal decay modules in the Fresnel transform domain. The benefits of this scheme are multiple; first, the open-spectrum Fresnel is rarely sampled.…”

Section: Review Of Related Researchmentioning

confidence: 99%

Authentication Based on the Image Encryption using Delaunay Triangulation and Catalan Objects

Selimović¹,

Stanimirović²,

Saračević³

et al. 2020

ACTA POLYTECH HUNG

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This paper presents the authentication method using the Delaunay triangulation incremental algorithm and the Catalan objects. The proposed method is a combination of computational geometry and cryptography. This method presents a new step towards encoding the triangle coordinates using the Catalan-key. We provided specific suggestions for the application of this method in the authentication for bank clients by the image encryption. Client authentication verification is performed by asking the client to enter the (x,y) coordinate values of randomly selected indices of an array. If the entered coordinates match the index values in the banking system array, then the transaction or other operation is approved. If the matching fails, it means that we have an unidentified person who has followed the whole process and wants to break into the banking system. There are many advantages arising from a scenario for the user authentication by the assigned Catalan object and the stack permutation method. Also, we provided concrete examples for the Delaunay encryption of image with an authentication scenario and experimental results for the proposed method.

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Section: Review Of Related Researchmentioning

confidence: 99%

Authentication Based on the Image Encryption using Delaunay Triangulation and Catalan Objects

Selimović¹,

Stanimirović²,

Saračević³

et al. 2020

ACTA POLYTECH HUNG

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“…Image authentication ensures the integrity of the encrypted images [20][21][22][23][24][25][26][27]. In the proposed method, a hidden encrypted matrix acts as the digital signature that provides authentication for the encrypted primary image.…”

Section: Introductionmentioning

confidence: 99%

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

Prabhavathi¹,

B²

2023

IJACSA

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In many circumstances, de-identification of a specific region of a biomedical image is necessary. Deidentification is used to hide the subject's identity or to prevent the display of the objectionable or offensive region(s) of the image. The concerned region can be blurred (de-identified) by using a suitable image processing technique guided by the regiondefining mask. The proposed method provides lossless blurring, which means the original image can be recovered fully with zero loss. The blurred image and the region-defining mask, along with the digital signature, are jointly encrypted to form the composite cipher matrix, and it is stored in the cloud for further distribution. The composite cipher matrix is decrypted to recover the blurred image by the conventional end user. Further, using the deblur key, the original image can be recovered with zero loss by the fully authorized special end users. On decryption, the digital signature is available for both types of end users. The proposed method uses randomized joint encryption using integer matrix keys in a finite field. The experimental results show that the proposed method achieves a reduction in the average execution time of encryption by 30 to 40 percent compared to its nearest competitor. Additionally, the proposed scheme achieves very nearly ideal performance with reference to the correlation coefficient, entropy, pixel change rate, and structural similarity index. Overall, the proposed algorithm performs substantially better than the other similar existing schemes for large-sized images.

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“…Cai et al have proposed a cryptosystem based on equal-mode decomposition (EMD) [27], which decomposed a 2D vector into two 2D vectors, one of which is ciphertext and the other is a private key as a security constraint. This technique provided a reliable one-way function of trapdoor [28], and was widely used in image encryption, such as Fresnel-based cryptosystem [29], cascaded EMD cryptosystem [30], etc. However, the output of the conventional EMD is complex and only applicable to grayscale images.…”

Section: Introductionmentioning

confidence: 99%

A Novel 3D Vector Decomposition for Color-Image Encryption

Zhu

Wang

et al. 2020

IEEE Photonics J.

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In this paper, a novel 3D vector decomposition is proposed for color-image encryption, in which a 3D vector is decomposed into two 3D vectors with random size in a random plane for providing a reliable security constraint. The technique of 3D vector decomposition, as far as we know, firstly offers a three-component encryption with one action, which fits well color-image encryption, and outputs a real ciphertext, which is convenient for recording and transmission. Furthermore, we employ an 1D chaos, which has strong chaotic properties, and reality-preserving fractional Hartley transform to cooperate 3D vector decomposition for constructing a color-image cryptosystem. Therefore, the proposed cryptosystem accomplishes improved security by reducing the single-channel attack risk in individual color-image encryption and avoiding the vulnerable channel in sequential color-image encryption as well as reduced the amount of data of transform-based cryptosystem by avoiding the complex output. Also, it has the advantages of strong chaotic performances, large key space and high key sensitivity, which is highly robust against various attacks. Experimental results show the effectiveness and superiority of the proposed cryptosystem.

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Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain

Cited by 21 publications

References 32 publications

Authentication Based on the Image Encryption using Delaunay Triangulation and Catalan Objects

Authentication Based on the Image Encryption using Delaunay Triangulation and Catalan Objects

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

A Novel 3D Vector Decomposition for Color-Image Encryption

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