Chaotic image encryption algorithm using frequency‐domain DNA encoding

Guan, Mengmeng; Yang, Xuelin; Hu, Weisheng

doi:10.1049/iet-ipr.2019.0051

Cited by 83 publications

(37 citation statements)

References 23 publications

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“…UACI and NPCR can be used to test the ability of encryption algorithms to resist differential attacks. The Formulas (16) to (18) are to calculate NPCR and UACI.…”

Section: Differential Attackmentioning

confidence: 99%

A New Image Encryption Algorithm Based on Composite Chaos and Hyperchaos Combined with DNA Coding

Wan

2020

Entropy

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In order to obtain chaos with a wider chaotic scope and better chaotic behavior, this paper combines the several existing one-dimensional chaos and forms a new one-dimensional chaotic map by using a modular operation which is named by LLS system and abbreviated as LLSS. To get a better encryption effect, a new image encryption method based on double chaos and DNA coding technology is proposed in this paper. A new one-dimensional chaotic map is combined with a hyperchaotic Qi system to encrypt by using DNA coding. The first stage involves three rounds of scrambling; a diffusion algorithm is applied to the plaintext image, and then the intermediate ciphertext image is partitioned. The final encrypted image is formed by using DNA operation. Experimental simulation and security analysis show that this algorithm increases the key space, has high sensitivity, and can resist several common attacks. At the same time, the algorithm in this paper can reduce the correlation between adjacent pixels, making it close to 0, and increase the information entropy, making it close to the ideal value and achieving a good encryption effect.

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“…UACI and NPCR can be used to test the ability of encryption algorithms to resist differential attacks. The Formulas (16) to (18) are to calculate NPCR and UACI.…”

Section: Differential Attackmentioning

confidence: 99%

A New Image Encryption Algorithm Based on Composite Chaos and Hyperchaos Combined with DNA Coding

Wan

2020

Entropy

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“…Most of the algorithms [7,14,15,20,21] taken for comparison had performed either chosen plain text attack or have theoretically mentioned that the algorithm could resist brute force attack. The comparison table is given in Table 6.…”

Section: Discussionmentioning

confidence: 99%

“…Over the years, the research community developed many algorithms for protecting multimedia content, with success [1][2][3][4][5][6][7][8][9][10][11]. While some algorithms such as [12][13][14][15] focus on the protection of grey and RGB images, some other algorithms such as [7][8][9][10][11][16][17][18][19][20][21][22][23] focus on providing security to Medical images, especially Digital Imaging and Communications in Medicine (DICOM) [7][8][9][10][11]. It was necessary to design an algorithm that focuses on both robustness and reduced time of operation.…”

Section: Introductionmentioning

confidence: 99%

A simple embed over encryption scheme for DICOM images using Bülban Map

Manikandan

Amirtharajan

2022

Med Biol Eng Comput

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Graphical abstract With the onset of any pandemic, the medical image database is bound to increase. These medical images are prone to attack by hackers for their medical data and patient health information. To safeguard these medical images, a new algorithm is proposed. The algorithm involves secretly embedding the patient identification number into the medical image and encrypting the medical image, protecting the patient’s identity and the patient’s medical condition from hackers. The encryption algorithm involved a single stage of confusion and two stages of diffusion. The confusion operation was performed using the key generated by the Bülban map. The first stage of diffusion was done in the transform domain, using 5/3 transformation. The second diffusion stage was performed in the spatial domain by altering the pixel values using the key. The algorithm was tested on over 30 DICOM (Digital Imaging and Communications in Medicine) images taken from Open Science Framework (OSF), a public database for COVID-19 patients. The algorithm could resist the statistical attacks upon analysis, providing a PSNR of 7.084 dB and entropy of 15.9815 bits for the cipher image. The correlation coefficients for the cipher image were 0.0275, -0.0027, 0.018 in horizontal, vertical and diagonal directions. The keyspace was 2 ((M−1) ×N)×16 , with M the number of rows and N the number of columns in the image. The key sensitivity was high. The test results and metric analysis prove that the algorithm is an effective one for embedding and encryption.

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“…In the spatial domain encryption, one can directly manipulate the pixel values by applying some mathematical functions such as substitution and permutation [57]. In [58], it was claimed that the frequency domain pixel manipulation is comparatively faster than the spatial domain pixel manipulation. Therefore, according to [ref], for real-time applications, one can incorporate frequency domain encryption to secure the digital images in a more sophisticated manner.…”

Section: Dynamic Instabilitymentioning

confidence: 99%

Dynamic Substitution and Confusion-Diffusion-Based Noise-Resistive Image Encryption Using Multiple Chaotic Maps

et al. 2021

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The advancement in wireless communication has encouraged the process of data transferring through the Internet. The process of data sharing via the Internet is prone to several attacks. The sensitive information can be protected from hackers with the help of a process called Encryption. Owing to the increase in cyberattacks, encryption has become a vital component of modern-day communication. In this article, an image encryption algorithm is suggested using dynamic substitution and chaotic systems. The suggested scheme is based upon the chaotic logistic map, chaotic sine maps and the dynamical substitution boxes (S-boxes). In the proposed scheme, the S-box selection is according to the generated sequence by deploying the chaotic sine map. To evaluate the robustness and security of the proposed encryption scheme, different security analysis like correlation analysis, information entropy, energy, histogram investigation, and mean square error are performed. The keyspace and entropy values of the enciphered images generated through the proposed encryption scheme are over 2 278 and 7.99 respectively. Moreover, the correlation values are closer to zero after comparison with the other existing schemes. The unified average change intensity (UACI) and the number of pixel change rate (NPCR) for the suggested scheme are greater than 33, 99.50% respectively. The simulation outcomes and the balancing with state-of-the-art algorithms justify the security and efficiency of the suggested scheme.

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Chaotic image encryption algorithm using frequency‐domain DNA encoding

Cited by 83 publications

References 23 publications

A New Image Encryption Algorithm Based on Composite Chaos and Hyperchaos Combined with DNA Coding

A New Image Encryption Algorithm Based on Composite Chaos and Hyperchaos Combined with DNA Coding

A simple embed over encryption scheme for DICOM images using Bülban Map

Dynamic Substitution and Confusion-Diffusion-Based Noise-Resistive Image Encryption Using Multiple Chaotic Maps

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