Image encryption based on actual chaotic mapping using optical reservoir computing

Xiao, Jiang; Xie, Yiyuan; Liu, Bocheng; Chai, Junxiong; Ye, Yichen; Song, Tingting; Feng, Manying; Yuan, Haodong

doi:10.1007/s11071-023-08666-6

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…We apply various levels of noise attacks to the encrypted image and then conduct the decryption operation to observe the effects, as shown in figure 14. The detailed experimental data is presented in table 13. The research results clearly demonstrate that the proposed scheme in this article can effectively maintain stability in the presence of noise interference and attacks, thereby significantly enhancing the anti-interference and reliability of image encryption.…”

Section: Anti-noise Attack Analysismentioning

confidence: 73%

“…In the field of image encryption and image processing, quantum random walks have garnered significant attention from researchers and are extensively utilized [9][10][11]. Compared to traditional encryption technology, quantum encryption technology stands out for its faster encryption speed and excellent encryption effectiveness, which has injected strong impetus into improving image security [12,13]. In 1993, Aharonov innovatively proposed the quantum random walk algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Color image encryption algorithm based on Mackey–Glass time-delay chaotic system and quantum random walk

Mou,

Dong

2024

New J. Phys.

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To ensure the confidentiality and integrity of image data and prevent unauthorized data tampering and privacy leaks. This study proposes a new color image encryption scheme based on the Mackey–Glass time-delay chaotic system and quantum random walk. This approach fully leverages the unpredictability of quantum random walks to generate random values. It combines the differences in Hamming distance between the three RGB channels of color images to create a highly complex and random key. The overall image and the three independent RGB channels are arranged in ascending order using Logistic-tent chaotic mapping and the Mackey–Glass time-delay chaotic system to obfuscate the image data. The deformed fractional-order Lorenz chaotic system is introduced, integrated with DNA encoding and decoding technology, and XOR operations are performed to achieve encryption at the spatial and pixel levels, thereby increasing the complexity of decryption. Through extensive experimental research, this solution has demonstrated excellent results in tests such as adjacent pixel correlation, information entropy, and key sensitivity. It has an excellent ability to protect the privacy of images and provides a reliable guarantee for the security of image data.

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Section: Anti-noise Attack Analysismentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Color image encryption algorithm based on Mackey–Glass time-delay chaotic system and quantum random walk

Mou,

Dong

2024

New J. Phys.

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Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices

İnce,

Hanbay

2024

Multimed Tools Appl

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In the digital age, where data is a valuable commodity, securing sensitive information has become a growing concern. Image encryption techniques play an essential role in protecting visual data from unauthorized access and ensuring privacy. However, with limited computing capacity in Internet of Things (IoT) devices, standard encryption algorithms are not feasible, rendering lightweight methods mandatory. This study proposes a novel Corner Traversal algorithm, an alternative to existing pixel scrambling techniques. The proposed algorithm demonstrably outperforms its counterparts in both higher confusion and lower time complexity, making it remarkably efficient. Integrated with chaos-based diffusion methods, this algorithm forms a comprehensive encryption scheme. The proposed lightweight image encryption scheme utilizing the Corner Traversal algorithm successfully passed rigorous statistical and differential security analysis. Compared to similar schemes, the proposed encryption scheme employing the Corner Traversal algorithm in the confusion phase distinguishes itself through exceptional NPCR (99.6093 for Lenna) and UACI (33.4648 for Lenna) values. Combined with other evaluation criteria, this method demonstrably meets the stringent security requirements of IoT systems.

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Image encryption algorithm based on COA and hyperchaotic Lorenz system

Qin,

Zhang

2024

Nonlinear Dyn

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Image encryption based on actual chaotic mapping using optical reservoir computing

Cited by 11 publications

References 43 publications

Color image encryption algorithm based on Mackey–Glass time-delay chaotic system and quantum random walk

Color image encryption algorithm based on Mackey–Glass time-delay chaotic system and quantum random walk

Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices

Image encryption algorithm based on COA and hyperchaotic Lorenz system

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