Proposing a New Method for Encrypting Satellite Images Based on Hash Function and Chaos Parameters

Sedighi, Mohamad; Mahmoudi, Scherwin; Amini, Alireza

doi:10.5194/isprs-archives-xlii-4-w18-949-2019

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The information entropy for numerous encrypted images was computed in this paper, and the results, as outlined in table 5, demonstrate that the entropies of all encrypted images closely approximate 8. Therefore, it can be concluded that our scheme has an average entropy of 7.9997 and is superior to the schemes in [28][29][30][31][32].…”

Section: Information Entropy Analysismentioning

confidence: 79%

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Li,

Xu,

Gao

2024

Phys. Scr.

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Remote sensing images have been widely used in the military and other areas because of their rich perceptional data. This makes their visual security critical in practical usage. To address this challenge, an enhanced image encryption scheme is proposed. In the scrambling phase, n bands of remote sensing images undergo Arnold double bit-level per-mutation. This reduces not only the pixel correlation in each image plane, but also between each frequency band. To enhance security, an RNA crossover rule (RNACMO) is introduced. The RNA image is divided into RNA single strands of different lengths using chaotic sequences, and different crossover methods, including single-point and uniform, are adaptively selected according to the number of RNA single strands. RNACMO significantly improves the security level of the scheme. An improved immune algorithm (IIA) is exploited to optimize chaotic function sequences, which improves the chaotic property of the scheme. In experiments, the proposed algorithm achieves average values of 99.6094% for NPCR, 33.4635% for UACI, and 26.7712% for BACI in encrypted remote sensing images, indicating stronger security and better resilience against attacks compared with other encryption algorithms for remote sensing images.

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Section: Information Entropy Analysismentioning

confidence: 79%

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Li,

Xu,

Gao

2024

Phys. Scr.

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show abstract

“…Among them, the highest information entropy is 7.9994. Besides, compared with other similar remote sensing image encryption algorithms [58,59], the results show that the proposed algorithm has higher information entropy.…”

Section: Information Entropy Analysis Information Entropy Proposed By Shannonmentioning

confidence: 96%

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

Liu

et al. 2021

Security and Communication Networks

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With the rapid development of remote sensing technology, satellite remote sensing images have been involved in many areas of people’s lives. Remote sensing images contain military secrets, land profiles, and other sensitive data, so it is urgent to encrypt remote sensing images. This paper proposes a dual-channel key transmission model. The plaintext related key is embedded into the ciphertext image through bit-level key hiding transmission strategy, which enhanced the ability of ciphertext image to resist known-plaintext attack and chosen plaintext attack. In addition, a multiband remote sensing image encryption algorithm based on Boolean cross-scrambling and semi-tensor product diffusion is designed. Firstly, the pixel positions of each band of the remote sensing image are disturbed. Then, the random sequence generated by the four-dimensional chaotic system is processed and deformed to obtain a Boolean matrix. Based on the generated Boolean matrix and certain rules, the cross-confusion between the bands is carried out. Finally, the semi-tensor product operation is used in the diffusion process. Simulation results and experimental analysis show that the proposed algorithm obtains a larger key space and has stronger antiattack ability than other remote sensing image encryption algorithms. It can meet the security transmission of multiband remote sensing image in open space.

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Dynamic 8-bit XOR algorithm with AES crypto algorithm for image steganography

Madhu,

Vasuhi,

Samydurai

2024

SIViP

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The expansion of the Internet's infrastructure has brought images to the forefront of multimedia content, leading to the use of image steganography as a means of hiding confidential data. This research proposes a novel method that combines the dynamic 8-bit XOR algorithm and the Advanced Encryption Standard (AES) crypto algorithm to enhance the security and robustness of image steganography. The proposed algorithm encrypts the message using AES and conceals it within the image using the dynamic XOR algorithm. The performance of the method is evaluated based on various objectives, including the impact of secret message size and stego image saving size. Histogram analysis is conducted to assess the pixel value distribution and frequency in the original and stego images. The results demonstrate minimal differences between the histograms, indicating the difficulty in detecting hidden information. Performance evaluation metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Normalized Pixel Change Rate (NPCR), and entropy are utilized to quantify the algorithm's performance. The impact of the secret message size is investigated, showing a trade-off between text size and PSNR performance.Increasing the secret message size leads to a decrease in PSNR and an increase in MSE.NPCR analysis reveals that a smaller secret message size results in a higher NPCR value, indicating stronger concealment capabilities. Entropy analysis demonstrates a remarkable proximity to the ideal entropy value. Furthermore, the impact of stego image saving size is evaluated. Results show that higher stego image dimensions result in higher PSNR values, indicating better image quality. Entropy values remain close to the ideal level for different stego image sizes. NPCR values decrease with larger stego image dimensions, indicating reduced concealment capabilities. Overall, the proposed method offers a comprehensive assessment of its capabilities as a reliable image steganography technique. The combination of encryption and dynamic XOR algorithm enhances security and robustness. The evaluation metrics provide objective measures to assess the quality, security, and efficiency of the algorithm. The research contributes to the field of image steganography and highlights the potential for real-world applications.

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Proposing a New Method for Encrypting Satellite Images Based on Hash Function and Chaos Parameters

Cited by 4 publications

References 14 publications

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

Dynamic 8-bit XOR algorithm with AES crypto algorithm for image steganography

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