Two level phase retrieval in fractional Hartley domain for secure image encryption and authentication using digital signatures

Khurana, Mehak; Singh, Hukum

doi:10.1007/s11042-020-08658-3

Cited by 13 publications

(7 citation statements)

References 45 publications

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“…The proposed ISS scheme can decode secret images losslessly with bidirectional shadow image authentication without pixel expansion. The study in [18] proposed an asymmetric two-level phase generation image encryption scheme that uses a nonlinear decryption key generation process. The nonlinear encryption process provides a high level of resistance to the existing attacks.…”

Section: Cryptography-based Image Authenticationmentioning

confidence: 99%

Steganography Approach to Image Authentication Using Pulse Coupled Neural Network

Forgáč,

Očkay,

Javurek

et al. 2023

cai

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This paper introduces a model for the authentication of large-scale images. The crucial element of the proposed model is the optimized Pulse Coupled Neural Network. This neural network generates position matrices based on which the embedding of authentication data into cover images is applied. Emphasis is placed on the minimalization of the stego image entropy change. Stego image entropy is consequently compared with the reference entropy of the cover image. The security of the suggested solution is granted by the neural network weights initialized with a steganographic key and by the encryption of accompanying steganographic data using the AES-256 algorithm. The integrity of the images is verified through the SHA-256 hash function. The integration of the accompanying and authentication data directly into the stego image and the authentication of the large images are the main contributions of the work.

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Section: Cryptography-based Image Authenticationmentioning

confidence: 99%

Steganography Approach to Image Authentication Using Pulse Coupled Neural Network

Forgáč,

Očkay,

Javurek

et al. 2023

cai

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“…There was a variety of studies both on digital and digital signatures. The key disadvantage to these methods is that prior information on the image becomes essential at the point of filming with special equipment [20,21].…”

Section: Active Authenticationmentioning

confidence: 99%

Image Authentication Based on Watermarking Approach: Review

Hasan

Ameen

Hasan

2021

AJRCoS

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Digital image authentication techniques have recently gained a lot of attention due to their importance to a large number of military and medical applications, banks, and institutions, which require a high level of security. Generally, digital images are transmitted over insecure media, such as the Internet and computer networks of various kinds. The Internet has become one of the basic pillars of life and a solution to many of the problems left by the coronavirus. As a result, images must be protected from attempts to alter their content that might affect important decision-making. An image authentication (IA) system is a solution to this difficult problem. In the previous literature, several methods have been proposed to protect the authenticity of an image. Digital image watermark is a strategy to ensure the reliability, resilience, intellectual property, and validity of multimedia documents. Digital media, such as images, audio, and video, can hide content. Watermarking of a digital image is a mechanism by which the watermark is embedded in multimedia and the image of the watermark is retrieved or identified in a multimedia entity. This paper reviews IA techniques, watermark embedding techniques, tamper detection methods and discusses the performance of the techniques, the pros and cons of each technique, and the proposed methods for improving the performance of watermark techniques.

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“…In addition, such a locator has a large amount of radiation. Moreover, the compliance of the locator also makes it inconvenient to clean clothes and shoes [1][2][3][4][5][6][7][8][9][10]. Therefore, compared with electronic tags and identifi cation cards that rely on radio frequency identifi cation (RFID) technology, we prefer a nonradiation, confi dential identifi cation technology that does not need to rely on network storage.…”

Section: Introductionmentioning

confidence: 99%

“…

On the basis of the integer-order chaotic system, we decompose its fractional order, because the fractional-order system has more complex dynamic characteristics, and the security performance of the encryption system designed on this basis is also higher [6][7][8][9]. For instance, Dong et al designed a color image encryption algorithm based on a fractional hyperchaotic system and introduced the compression theory of

…”

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confidence: 99%

Design of Clothing with Encrypted Information of Lost Children Information Based on Chaotic System and DNA Theory

Cui

Liu

2022

AUTEX Research Journal

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The encryption design is partly based on the fractional chaotic system and DNA theory. First, the dynamic characteristics of the newly proposed fractional Lü chaotic system are analyzed, and based on the analysis, a multi-image encryption algorithm is proposed. That is, the Arnold scrambling algorithm is used to scramble the image matrix, and then the DNA encryption theory is used to diffuse the image matrix. Among them, the scrambling step and the diffusion step are based on the chaotic sequence, and the encrypted image is finally obtained. Finally, the new encryption algorithm is evaluated, and the results show that the key space of the new encryption algorithm is further expanded and is very sensitive to key changes. The algorithm can effectively destroy the correlation of the original image, and can resist various cracking attacks. In summary, the multi-image encryption algorithm proposed in this paper has good encryption performance and provides a theoretical basis for practical applications. By reading those labels, children's identity and other relevant information can be acquired. This method may help police to obtain information on lost children and find their family rapidly.

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Two level phase retrieval in fractional Hartley domain for secure image encryption and authentication using digital signatures

Cited by 13 publications

References 45 publications

Steganography Approach to Image Authentication Using Pulse Coupled Neural Network

Steganography Approach to Image Authentication Using Pulse Coupled Neural Network

Image Authentication Based on Watermarking Approach: Review

Design of Clothing with Encrypted Information of Lost Children Information Based on Chaotic System and DNA Theory

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