Image Encryption Algorithm Based on a Novel 4D Chaotic System

Mehdi, Sadiq A.

doi:10.4018/ijisp.2021100107

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…These characteristics are very necessary for the encryption process. However, because the dynamic characteristics of the high-dimensional chaotic system are more complex and the dynamic analysis is more difficult, its chaotic characteristics are also relatively stronger [4]. The main purpose of this paper is to encrypt the plaintext content of the image by using these characteristics of the chaotic system, so as to obtain the ciphertext whose content is similar to the noise and propagate it.…”

Section: Introductionmentioning

confidence: 99%

Algorithm of Encrypting Digital Image Using Chaos Neural Network

Mao

2022

Advances in Multimedia

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With the rapid development of digital communication technology, data and image encryption methods will get more and more in-depth research in these aspects. Although the original cipher method can keep the image confidential, because of the storage method of the image data, for the image with too high pixel value, the process of keeping the two-dimensional information confidential and decoding will bring a large amount of computation, and the accuracy of encryption and decryption cannot be guaranteed. This paper presents a visual image encryption algorithm based on the compressed sensing method of the Hopfield chaotic neural network. Different from the existing visual image encryption methods, our method can directly embed the noise like information after encryption into the alpha channel of the carrier image, thus increasing the visual stability of the computer. Finally, through the comparison and analysis of simulation experiments, we find that the image encryption algorithm proposed in this paper has the advantages of wide password space, low risk, good visual stability, good decoding effect, and good robustness.

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Section: Introductionmentioning

confidence: 99%

Algorithm of Encrypting Digital Image Using Chaos Neural Network

Mao

2022

Advances in Multimedia

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“…Experimental results and performance analyses demonstrate that the proposed encryption algorithm achieves high security and efficiency. [1] In 2017, Chunhu Li,et al, proposed an algorithm for encrypting images that use a three-dimensional chaotic logistic map to generate pseudo-random sequences that are independent and approximately uniform. After a series of transformations, the sequences constitute a new pseudo-random sequence uniformly distributed in the value space, which covers the plain-text by executing Exclusive-OR and shifting operations for some rounds to form the cipher.…”

Section: Related Workmentioning

confidence: 99%

“…In the world where information and communication is the indispensable composition of human activities, where men and technology must communicate or share information in order to make decisions; it therefore behoves that this composite essence of humans should be protected and managed to ensure its sustainability, integrity, accuracy Encryption techniques have become the immediate solution to protect information against third parties [1,2]. How to keep the digital image secret has become a new research topic.…”

Section: Introductionmentioning

confidence: 99%

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Multiple Random Keys for Image Encryption Based on Sensitivity of a New 6D Chaotic System

2023

IJIES

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This research paper introduces a novel encryption algorithm that utilizes a hyper six-dimensional chaotic system to enhance image security. The algorithm incorporates randomization, switching, diffusion, and XOR operations in a series of stages to ensure robust encryption. Two sets of keys are generated using the chaotic system, adding random and unpredictable elements to enhance the algorithm's security. During the encryption process, the image's color values are transformed into red, green, and blue vectors, enabling precise manipulation at the pixel level. Pseudo-random shuffling, guided by chaotic keys, introduces an additional layer of randomness, making the encrypted image resistant to decryption and tampering attempts. XOR operations further modify the pixel values, while interconnecting the color vectors enhances the encryption's complexity and security. Experimental evaluation of the proposed algorithm demonstrates its efficacy. A high PSNR value of 7.9997 indicates preserved image resolution after encryption. The NPCR value of 99.6002 indicates robust resistance to pixel modifications and the UACI value of 35.3623 showcases uniform pixel distribution. The algorithm also offers a substantial key space of 2 947 , further strengthening its overall security. Notably, its sensitivity of 10 15 highlights its resilience against potential attacks.

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“…Because of the unique characteristics of images, like their huge data capacity and strong correlation among pixels [4], [5], several conventional data encryption methods, like advanced encryption standard (AES) data encryption standard and (DES), are not suitable for encrypting digital images [6]- [8]. Therefore, various approaches for encrypting image data have been proposed, the most powerful and widely used of which is chaotic-based cryptography, due to its sensitivity to initial state [6], non-linearity, randomness, ergodicity, and so on [9]- [11], which satisfies the fundamental requirements of cryptography.…”

Section: Introductionmentioning

confidence: 99%

Chaotic-DNA system for efficient image encryption

2022

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In order to prevent unwanted access to sensitive data by unauthorized individuals, color images are encoded. Because chaotic-deoxyribonucleic acid (chaotic-DNA) encoding can make information highly secure, it is often employed in image encryption. In this study, a new image encryption technique has been proposed based on a new 4D-chaotic system and DNA computing. The algorithm consists of two phases: in the first phase, the pixel positions are permuted by chaotic sequences. In the second phase, according to the concept of DNA cryptography, a set of operations (like DNA addition, DNA XOR, DNA subtraction, shift right, and shift left) are performed on the DNA encoding sequence. The performance of the suggested algorithm is evaluated through analyses like correlation coefficient, entropy, histogram, and key space. The results show that the encryption method that was exhibited has good encryption performance and high security. For encrypted images, the histogram is fairly uniform, the correlation values between adjacent pixels are very small and close to zero, and the entropy is near to the ideal value of eight. In addition, the proposed system has a very large key space that is equal to 2627 keys, which makes it resistant to brute-force, differential, and statistical attacks.

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Image Encryption Algorithm Based on a Novel 4D Chaotic System

Cited by 14 publications

References 4 publications

Algorithm of Encrypting Digital Image Using Chaos Neural Network

Algorithm of Encrypting Digital Image Using Chaos Neural Network

Multiple Random Keys for Image Encryption Based on Sensitivity of a New 6D Chaotic System

Chaotic-DNA system for efficient image encryption

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