Robust image encryption and zero-watermarking scheme using SCA and modified logistic map

Daoui, Achraf; Karmouni, Hicham; ogri, O. El; Sayyouri, Mhamed; Qjidaa, Hassan

doi:10.1016/j.eswa.2021.116193

Cited by 41 publications

(12 citation statements)

References 41 publications

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“…The proposed scheme achieves good robustness against various attacks. Daoui et al [ 19 ] offered copyright protection systems based on zero-watermarking and encryption techniques for images. They introduced modified logistic maps for image encryption.…”

Section: Related Workmentioning

confidence: 99%

WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications

Singh

et al. 2022

Cogn Comput

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Over recent years, the volume of big data has drastically increased for medical applications. Such data are shared by cloud providers for storage and further processing. Medical images contain sensitive information, and these images are shared with healthcare workers, patients, and, in some scenarios, researchers for diagnostic and study purposes. However, the security of these images in the transfer process is extremely important, especially after the COVID-19 pandemic. This paper proposes a secure watermarking algorithm, termed WatMIF, based on multimodal medical image fusion. The proposed algorithm consists of three major parts: the encryption of the host media, the fusion of multimodal medical images, and the embedding and extraction of the fused mark. We encrypt the host media with a key-based encryption scheme. Then, a nonsubsampled contourlet transform (NSCT)-based fusion scheme is employed to fuse the magnetic resonance imaging (MRI) and computed tomography (CT) scan images to generate the fused mark image. Furthermore, the encrypted host media conceals the fused watermark using redundant discrete wavelet transform (RDWT) and randomised singular value decomposition (RSVD). Finally, denoising convolutional neural network (DnCNN) is used to improve the robustness of the WatMIF algorithm. The simulation experiments on two standard datasets were used to evaluate the algorithm in terms of invisibility, robustness, and security. When compared with the existing algorithms, the robustness is improved by 20.14%. Overall, the implementation of proposed watermarking for hiding fused marks and efficient encryption improved the identity verification, invisibility, robustness and security criteria in our WatMIF algorithm.

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Section: Related Workmentioning

confidence: 99%

WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications

Singh

et al. 2022

Cogn Comput

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“…[6][7][8] However, in the face of increasingly complex networks and the emergence of advanced artificial intelligence such as Chat-GPT, image information is facing more severe security problems and copyright disputes, so scholars are beginning to focus more attention on the field of image encryption and copyright protection. [9][10][11][12][13][14] Considering that traditional encryption methods (such as AES and DES) have been unable to improve the security of digital image transmission, [15][16][17] scholars tend to introduce more technologies in the field of image encryption, and chaos theory is one of them. [18][19][20]57] A chaotic system has the advantages of initial value sensitivity, unpredictability and so on, which can provide enough support for the application of cryptography.…”

Section: Introductionmentioning

confidence: 99%

“…A large number of watermarking application schemes have also been proposed. [29][30][31][32] Bordel et al proposed a new mechanism to protect, authenticate and anonymize data in IoT systems supported by future 5G networks. [33] Pavithra et al introduced a medical image watermarking encryption scheme.…”

Section: Introductionmentioning

confidence: 99%

Novel self-embedding holographic watermarking image encryption protection scheme

Wang 王,

Zhou 周,

Sun 孙

et al. 2024

Chinese Phys. B

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For digital image transmission security and information copyright, a new holographic image self-embedding watermarking encryption scheme is proposed. Firstly, the plaintext is converted to the RGB three-color channel, the corresponding phase hologram is obtained by holographic technology and the watermark is self-embedded in the frequency domain. Secondly, by applying Hilbert transform principle and genetic center law, a complete set of image encryption algorithm is constructed to realize the encryption of image information. Finally, simulation results and security analysis indicate that the scheme can effectively encrypt and decrypt image information and realize the copyright protection of information. The introduced scheme can provide some support for relevant theoretical research, and therefore has practical significance.

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“…In the context of the Internet of Things (IoT), embedded devices are being positioned as a key hub for connecting the physical and digital worlds [1][2][3]. With the proliferation and expanding application scope of embedded devices, the volume of data they process is also rapidly increasing.…”

Section: Introductionmentioning

confidence: 99%

“…Typical dynamics of chaotic firingInspired by the works[15], the chaotic Rulkov model is shown in equation (1), , y n are the state variables, and various firing patterns are regulated by parameters a, b, c, and d. Set b = 0.01, c = -1, and d = 1, (x 0 , y 0 ) = (0, 0), a varies in the range of[2,5], the dynamical evolutions of the system (1) is shown in figure1. A weak chaotic range shows up as a varies in the range of[2,3]; the robust chaotic range is extracted when a is fixed in the range of[3,5]. Typical firing activities are shown in figure2, including periodic spiking and chaotic bursting.…”

mentioning

confidence: 99%

Further study on the Rulkov neuron: geometric control, circuit realization and chaos-based encryption

Xia,

Li,

et al. 2024

Phys. Scr.

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Rulkov neuron with various firing modes is exhaustively explored by numerical simulation aiming to disclose its unique properties of evolution. Transient chaos and the coexistence of periodic state and chaos are found. Furthermore, it is found that the chaotic attractors in the neuron can also be arranged flexibly in phase space by a single offset booster, while the amplitude of firings is rescaled by an independent amplitude controller. Circuit implementation based on MCU is carried out demonstrating the predicted dynamics. Confidentiality and security of data play an important role in safeguarding national production and livelihood. In this paper, the chaotic firing is introduced into the Tiny Encryption Algorithm (TEA) for image encryption based on MCU combined with metrics analysis. It is proven that the Chaos-based Tiny Encryption Algorithm (ChaosTEA) exhibits higher efficiency and security compared to the traditional TEA algorithm.

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Robust image encryption and zero-watermarking scheme using SCA and modified logistic map

Cited by 41 publications

References 41 publications

WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications

WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications

Novel self-embedding holographic watermarking image encryption protection scheme

Further study on the Rulkov neuron: geometric control, circuit realization and chaos-based encryption

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