A color image encryption scheme based on 1D cubic map

Aiming at the problem that medical image information is easy to be stolen, tampered and maliciously destroyed in the transmission process, a selective region medical image encryption algorithm based on cascade chaos is proposed. The encryption algorithm consists of two stages: region of interest (ROI) encryption and full image encryption. First, the Cubic map is cascaded with an improved Cosine map. Through the analysis of dynamic characteristics, the cascade map has better chaotic performance than the traditional chaotic systems. The key sequence is generated by the cascade map and the image. Then edge detection is performed on the image to determine ROI. ROI is divided into multiple image blocks, and a new gradient algorithm is used to label the sub-blocks containing important information. A modified two-dimensional Joseph traversal method is used to scramble the positions of pixels in each sub-block, and further modify their pixel values with a round of diffusion. Finally, we use a block V-shape scrambling method to scramble the entire image. The final encrypted image is obtained through a round of bidirectional diffusion of all pixels using chaotic sequences. Simulation results and security analysis show that the algorithm has large key space and sufficient security. It can effectively resist various malicious attacks.

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“…Step 4: Perform the diffusion operation according to equation (29). Convert C 2 into a matrix P 5 with size M × N.…”

Section: Block V-shape Scramblingmentioning

confidence: 99%

Selective region medical image encryption algorithm based on cascade chaos and two-dimensional Joseph traversal

Chen

Li²,

Lin³

et al. 2023

Phys. Scr.

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“…Since Matthews first introduced chaotic systems into cryptography in 1989, chaotic systems have been widely used in image encryption due to their properties such as extreme sensitivity to initial conditions and parameters and pseudo-random behaviour [15][16][17][18][19][20]. Yahi et al [15] constructed a new chaotic system 1-DCE by combining cubic mapping with exponential function and also applied 1-DCE chaotic mapping to colour image encryption. The results show that the algorithm is effective in resisting the high security level required for statistical and differential attacks and has significant encryption speed.…”

Section: Introductionmentioning

confidence: 99%

“…Chaotic systems are characterised by sensitivity to initial values, determinism, ergodicity, randomness and unpredictability [12,13], and the resulting random sequences varying with parameters can be used for pixel disruption and diffusion in image encryption algorithms, overcoming the limitations of traditional encryption methods [14]. Since Matthews first introduced chaotic systems into cryptography in 1989, chaotic systems have been widely used in image encryption due to their properties such as extreme sensitivity to initial conditions and parameters and pseudo-random behaviour [15][16][17][18][19][20]. Yahi et al [15] constructed a new chaotic system 1-DCE by combining cubic mapping with exponential function and also applied 1-DCE chaotic mapping to colour image encryption.…”

Section: Introductionmentioning

confidence: 99%

Region of interest encryption algorithm for images based on lifting scheme and object detection

Wang,

Chen,

Sun

et al. 2024

Preprint

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Securing image transmissions has become critical as the demand for image sharing and storage grows. In some commercial uses, in order to achieve a balance between encryption security and efficiency, some researchers have tried to encrypt only the region of interest of the user in the image. In order to accurately encrypt region of interest images, this paper proposed a region of interest image encryption algorithm based on lifting scheme and object detection. The algorithm automatically identifies the region of interest in the image and encrypts it securely and effectively. Firstly, the region of interest in the image is detected using the object detection model, where we modify the non-maximum suppression algorithm to address the problem that the detection box output from the object detection model does not completely contain the region of interest, avoiding the risk of privacy leakage. Then the existing pixel extraction method for region of interest images is improved to extract the pixels from the region of interest images at a faster speed, which improves the overall efficiency of the algorithm. Finally, based on the thought of wavelet lifting transform, a two-layer hybrid lifting scheme encryption algorithm is proposed to encrypt the extracted pixels. Experimental results and security analyses show that our proposed algorithm can effectively protect all objects at once with high security.

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“…Digital images are different from textual information due to their high volume of data and redundancy [4]. Several researchers have developed advanced algorithms to improve security and address the shortcomings of spatial image encryption [7]. In the 1960s, meteorologist Edward Lorenz released a new theory to the world, that called chaos theory, known as the "butterfly effect".…”

Section: Introductionmentioning

confidence: 99%

Encryption face area in color images using Chaotic Maps

Kouadra,

Bouchra,

Bekkouche

et al. 2023

ICPIS

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This paper introduces a region-based selective image encryption technique using a chaoticapproach. The aim is to address the growing need for secure face image transmission and storage in variousapplications where image information requires protection from unauthorized access. Existing imageencryption schemes often rely on generating randomness in the image to hide the content, but they can betime-consuming during the encryption and decryption processes. Therefore, an efficient algorithm is crucialto ensure practicality and effectiveness. To tackle this challenge, the proposed technique focuses onselectively encrypting and reconstructing facial regions in images. By identifying the importance of faceimages in applications where security is critical, the proposed method offers a targeted approach toencryption. This selective encryption allows for improved efficiency in both encryption and decryptionprocesses, reducing computational complexity and enhancing overall performance. The experimentsdemonstrate the successful encryption and reconstruction of face images, highlighting the preservation offacial details and the robustness of the encryption against attacks. These results confirm the suitability ofthe proposed technique for applications that require secure face image transmission and storage.

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A color image encryption scheme based on 1D cubic map

Cited by 32 publications

References 45 publications

Selective region medical image encryption algorithm based on cascade chaos and two-dimensional Joseph traversal

Selective region medical image encryption algorithm based on cascade chaos and two-dimensional Joseph traversal

Region of interest encryption algorithm for images based on lifting scheme and object detection

Encryption face area in color images using Chaotic Maps

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