Hiding data inside images using orthogonal moments

Soria-Lorente, Anier; Berres, Stefan; Avila-Domenech, Ernesto

doi:10.1016/j.jisa.2022.103192

Cited by 3 publications

(2 citation statements)

References 49 publications

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“…Recently, a number of data hiding methods based on moment transforms [ 42 , 43 , 44 , 45 , 46 ] have been proposed. However, it is important to note that these methods are irreversible since they embed additional data into the real-valued moment transform domain.…”

Section: Application In Rdh For 3d Medical Imagesmentioning

confidence: 99%

A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT

Yamni,

Daoui,

Pławiak

et al. 2023

Sensors

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To avoid rounding errors associated with the limited representation of significant digits when applying the floating-point Krawtchouk transform in image processing, we present an integer and reversible version of the Krawtchouk transform (IRKT). This proposed IRKT generates integer-valued coefficients within the Krawtchouk domain, seamlessly aligning with the integer representation commonly utilized in lossless image applications. Building upon the IRKT, we introduce a novel 3D reversible data hiding (RDH) algorithm designed for the secure storage and transmission of extensive medical data within the IoMT (Internet of Medical Things) sector. Through the utilization of the IRKT-based 3D RDH method, a substantial amount of additional data can be embedded into 3D carrier medical images without augmenting their original size or compromising information integrity upon data extraction. Extensive experimental evaluations substantiate the effectiveness of the proposed algorithm, particularly regarding its high embedding capacity, imperceptibility, and resilience against statistical attacks. The integration of this proposed algorithm into the IoMT sector furnishes enhanced security measures for the safeguarded storage and transmission of massive medical data, thereby addressing the limitations of conventional 2D RDH algorithms for medical images.

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Section: Application In Rdh For 3d Medical Imagesmentioning

confidence: 99%

A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT

Yamni,

Daoui,

Pławiak

et al. 2023

Sensors

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“…Several studies have been done on chaos-based image encryption [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] . Some of these works concern the encryption of grayscale images.…”

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confidence: 99%

Hyperchaotic color image encryption scheme based on simultaneous color channel confusion-diffusion operations

Kengnou Telem,

Tchito Tchapga,

Nkapkop

et al. 2024

Phys. Scr.

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Shortcomings have been identified in current color image encryption methods. Firstly, these methods encrypt each color channel separately, resulting in a time-consuming process and independent encrypted channels, which can make hacking easier. Secondly, the use of XOR operations between image pixel values and code values during encryption can be vulnerable. To address these issues, a novel algorithm is introduced that incorporates a new XOR operation and simultaneous encryption of color channels. This approach creates interdependence between the encrypted channels, reduces encryption time, and enhances security by introducing a more complex XOR operation. The proposed method employs a substitution technique that involves XOR operations between groups of pixels and codes, inspired by the principles of the fast Walsh-Hadamard transform algorithm. The encryption process involves several key phases that enhance the security and efficiency of the system. In the initial phase, line processing involves mixing lines from different channels and application of chaotic substitution permutation operations. Subsequently, a similar operation is applied to columns, and finally, the channels are divided into overlapping squared sub-blocks, with a newly XOR proposed chaos-based confusion operation simultaneously applied to the three-channel sub-blocks. These phases are designed to ensure interdependence between color channels and reduce encryption time, resulting in a more robust encryption method. With this method, the RGB cipher channels become mutually dependent, rendering decryption of one channel impossible without the others. The approach has been evaluated using appropriate metrics and found to be robust, efficient, and resistant to various attacks, outperforming recently published methods. It is suitable for modern image encryption applications, including those related to the Internet of Medical Things (IoMT).

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A Secure Optical Encryption Using DWT and Bit Swapping

Anusree

Rahiman

2023

2023 2nd International Conference on Computational Systems and Communication (ICCSC)

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Hiding data inside images using orthogonal moments

Cited by 3 publications

References 49 publications

A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT

A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT

Hyperchaotic color image encryption scheme based on simultaneous color channel confusion-diffusion operations

A Secure Optical Encryption Using DWT and Bit Swapping

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