Logistic-map based fragile image watermarking scheme for tamper detection and localization

Sahu, Aditya Kumar; Hassaballah, M.; Rao, Routhu Srinivasa; Suresh, G.

doi:10.1007/s11042-022-13630-4

Cited by 23 publications

(5 citation statements)

References 30 publications

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“…In order to explain the steganography stage and extraction stage of this extension scheme more clearly [ 27 ], the information steganography process of this scheme is demonstrated in Table 6 .…”

Section: Methodsmentioning

confidence: 99%

Random Matrix Transformation and Its Application in Image Hiding

Wang

Tan

Yuan

2023

Sensors

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Image coding technology has become an indispensable technology in the field of modern information. With the vigorous development of the big data era, information security has received more attention. Image steganography is an important method of image encoding and hiding, and how to protect information security with this technology is worth studying. Using a basis of mathematical modeling, this paper makes innovations not only in improving the theoretical system of kernel function but also in constructing a random matrix to establish an information-hiding scheme. By using the random matrix as the reference matrix for secret-information steganography, due to the characteristics of the random matrix, the secret information set to be retrieved is very small, reducing the modification range of the steganography image and improving the steganography image quality and efficiency. This scheme can maintain the steganography image quality with a PSNR of 49.95 dB and steganography of 1.5 bits per pixel and can ensure that the steganography efficiency is improved by reducing the steganography set. In order to adapt to different steganography requirements and improve the steganography ability of the steganography schemes, this paper also proposes an adaptive large-capacity information-hiding scheme based on the random matrix. In this scheme, a method of expanding the random matrix is proposed, which can generate a corresponding random matrix according to different steganography capacity requirements to achieve the corresponding secret-information steganography. Two schemes are demonstrated through simulation experiments as well as an analysis of the steganography efficiency, steganography image quality, and steganography capacity and security. The experimental results show that the latter two schemes are better than the first two in terms of steganography capacity and steganography image quality.

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Section: Methodsmentioning

confidence: 99%

Random Matrix Transformation and Its Application in Image Hiding

Wang

Tan

Yuan

2023

Sensors

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“…One of the polynomial maps that display chaotic behavior is the logistic map. One such map is provided in (1).…”

Section: Encryption and Decryption Using Proposed Hybrid Chaotic Mapp...mentioning

confidence: 99%

“…The rapid development of digital applications and enhanced technologies has simultaneously created a huge demand in the security industry also [1], [2]. Security is one of the most vital parameters required for successfully transmitting information via the network, but is greatly impacted by increase in illegal activities pertaining to information misuse such as copying, editing [3].…”

Section: Introductionmentioning

confidence: 99%

Hybrid chaotic map with L-shaped fractal Tromino for image encryption and decryption

Victor Juvvanapudi,

Rajesh Kumar,

Satyanarayana Reddy

2024

IJECE

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Insecure communication in digital image security and image storing are considered as important challenges. Moreover, the existing approaches face problems related to improper security at the time of image encryption and decryption. In this research work, a wavelet environment is obtained by transforming the cover image utilizing integer wavelet transform (IWT) and hybrid discrete cosine transform (DCT) to completely prevent false errors. Then the proposed hybrid chaotic map with L-shaped fractal Tromino offers better security to maintain image secrecy by means of encryption and decryption. The proposed work uses fractal encryption with the combination of L-shaped Tromino theorem for enhancement of information hiding. The regions of L-shaped fractal Tromino are sensitive to variations, thus are embedded in the watermark based on a visual watermarking technique known as reversible watermarking. The experimental results showed that the proposed method obtained peak signal-to-noise ratio (PSNR) value of 56.82dB which is comparatively higher than the existing methods that are, Beddington, free, and Lawton (BFL) map with PSNR value of 8.10 dB, permutation substitution, and Boolean operation with PSNR value of 21.19 dB and deoxyribonucleic acid (DNA) level permutation-based logistic map with PSNR value of 21.27 dB.

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“…This scheme takes advantage of the sensitivity property of the logistic map to generate watermark bits, which are embedded in the rightmost LSBs by performing the logical XOR operation between the first intermediate significant bits and the watermark bits. In [31], logistic-map based fragile image watermarking scheme for tamper detection and localization is proposed, which is blind and the watermark bits are generated using the chaotic system based logistic-map at both the sender and receiving end. Therefore, the quality of the watermarked image is quite superior to that of the other schemes and the outstanding results are achieved with respect to the tamper detection and localization ability.…”

Section: Related Workmentioning

confidence: 99%

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

Li,

Chen,

Chu

et al. 2024

PLoS ONE

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Numerous image authentication techniques have been devised to address the potential security issue of malicious tampering with image content since digital images can be easily duplicated, modified, transformed and diffused via the Internet transmission. However, the existing works still remain many shortcomings in terms of the recovery incapability and detection accuracy with extensive tampering. To improve the performance of tamper detection and image recovery, we present a block mapping and dual-matrix-based watermarking scheme for image authentication with self-recovery capability in this paper. The to-be-embedded watermark information is composed of the authentication data and recovery data. The Authentication Feature Composition Calculation algorithm is proposed to generate the authentication data for image tamper detection and localization. Furthermore, the recovery data for tampered region recovery is comprised of self-recovery bits and mapped-recovery bits. The Set Partition in Hierarchical Trees encoding algorithm is applied to obtain the self-recovery bits, whereas the Rehashing Model-based Block Mapping algorithm is proposed to obtain the mapped-recovery bits for retrieving the damaged codes caused by tampering. Subsequently, the watermark information is embedded into the original image as digital watermarking with the guidance of a dual-matrix. The experimental results demonstrate that comparing with other state-of-the-art works, our proposed scheme not only improves the performance in recovery, but also extends the limitation of tampering rate up to 90%. Furthermore, it obtains a desirable image quality above 40 dB, large watermark payload up to 3.169 bpp, and the effective resistance to malicious attack, such as copy-move and collage attacks.

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Logistic-map based fragile image watermarking scheme for tamper detection and localization

Cited by 23 publications

References 30 publications

Random Matrix Transformation and Its Application in Image Hiding

Random Matrix Transformation and Its Application in Image Hiding

Hybrid chaotic map with L-shaped fractal Tromino for image encryption and decryption

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

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