A novel and efficient amino acid codon based medical image encryption scheme colligating multiple chaotic maps

Barik, Ram Chandra; Changder, Suvamoy

doi:10.1007/s11042-020-09930-2

Cited by 11 publications

(3 citation statements)

References 39 publications

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“…When combined with DNA encoding or wavelet transform, they contribute to improved security and performance in the encryption process. Tawfik et al [22] presented a secure and efficient medical image encryption scheme utilizing 2D-3D chaotic maps and DNA encoding, demonstrating its high security, robustness, and efficiency.…”

Section: Figure 2: Security Of Medical Images For Telemedicine: a Sys...mentioning

confidence: 99%

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

Sulaman

Umer

Iqbal

et al. 2023

Preprint

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For communication and protection of sensitive medical images, image encryption is necessary. In this research, an innovative hybrid encryption method that com- bines the Radon transform with the Cipher Block Chaining (CBC) algorithm is proposed. The CBC method employs a chaining mechanism and the Advanced Encryption Standard (AES) to protect each block of data. The Radon transform converts an encrypted image into a sinogram while preserving key components of the actual image. From the sinogram representation, the encrypted image is reconstructed using the inverse Radon transform. The proposed approach also employs padding removal for precise image reconstruction and median filter- ing to reduce noise. PSNR (Peak Signal-to-Noise Ratio), MSE (Mean Squared Error), and SSIM (Structural Similarity Index) are employed to evaluate the claimed technique in this research. The suggested approach successfully recon- structs and encrypts medical images while retaining image quality, according to experimental findings. The study contributes to the creation of image encryp- tion methods for medical imaging applications. This protects private medical information confidentiality and privacy.

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Section: Figure 2: Security Of Medical Images For Telemedicine: a Sys...mentioning

confidence: 99%

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

Sulaman

Umer

Iqbal

et al. 2023

Preprint

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“…The Logistic map, also known as the insect population model in ecology [ 21 ], is a typical nonlinear chaotic system, which is highly sensitive to the initial state [ 1 ] and can produce complex chaotic behaviors [ 33 ]. This system has been widely used in the research field of medical image encryption [ 1 , 7 , 8 , 10 , 12 , 17 , 20 – 22 , 24 , 27 , 28 , 33 , 37 , 39 , 40 , 43 , 47 , 53 , 54 , 62 , 65 , 68 , 73 , 74 , 76 , 77 ]. The original 1-D Logistic chaotic map can be defined by the following Eq.…”

Section: Preliminariesmentioning

confidence: 99%

A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Zhang

Rahmatullah

Wang

et al. 2022

Multimed Tools Appl

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Modern medical examinations have produced a large number of medical images. It is a great challenge to transmit and store them quickly and securely. Existing solutions mainly use medical image encryption algorithms, but these encryption algorithms, which were developed for ordinary images, are time-consuming and must cope with insufficient security considerations when encrypting medical images. Compared with ordinary images, medical images can be divided into the region of interest and the region of background. In this paper, based on this characteristic, a plain-image correlative semi-selective medical image encryption algorithm using the enhanced two dimensional Logistic map was proposed. First, the region of interest of a plain medical image is permuted at the pixel level, then for the whole medical image, substitution is performed pixel by pixel. An ideal compromise between encryption speed and security can be achieved by full-encrypting the region of interest and semi-encrypting the region of background. Several main types of medical images and some normal images were selected as the samples for simulation, and main image cryptanalysis methods were used to analyze the results. The results showed that the cipher-images have a good visual quality, high information entropy, low correlation between adjacent pixels, as well as uniformly distribute histogram. The algorithm is sensitive to the initial key and plain-image, and has a large keyspace and low time complexity. The time complexity is lower when compared with the current medical image full encryption algorithm, and the security performance is better when compared with the current medical image selective encryption algorithm.

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“…These approaches are very sensitive to initial conditions and are resistant to various brute attacks. DNA-based encryption technique is blended with chaotic maps, hash functions and other methods to provide better security [ 31 , 32 , 33 , 34 ]. Authors in [ 35 ] generated random sequence, using coupled map lattice and chaotic map, which are then combined with the DNA method for image encryption.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Using a Spectrally Efficient Halton Logistics Tent (HaLT) Map and DNA Encoding for Secured Image Communication

Patel

Veeramalai

2022

Entropy

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With the advancement of technology worldwide, security is essential for online information and data. This research work proposes a novel image encryption method based on combined chaotic maps, Halton sequence, five-dimension (5D) Hyper-Chaotic System and Deoxyribonucleic Acid (DNA) encoding. Halton sequence is a known low-discrepancy sequence having uniform distribution in space for application in numerical methods. In the proposed work, we derived a new chaotic map (HaLT map) by combining chaotic maps and Halton sequence to scramble images for cryptography applications. First level scrambling was done by using the HaLT map along with a modified quantization unit. In addition, the scrambled image underwent inter- and intra-bit scrambling for enhanced security. Hash values of the original and scrambled image were used for initial conditions to generate a 5D hyper-chaotic map. Since a 5D chaotic map has complex dynamic behavior, it could be used to generate random sequences for image diffusion. Further, DNA level permutation and pixel diffusion was applied. Seven DNA operators, i.e., ADD, SUB, MUL, XOR, XNOR, Right-Shift and Left-Shift, were used for pixel diffusion. The simulation results showed that the proposed image encryption method was fast and provided better encryption compared to ‘state of the art’ techniques. Furthermore, it resisted various attacks.

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A novel and efficient amino acid codon based medical image encryption scheme colligating multiple chaotic maps

Cited by 11 publications

References 39 publications

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map

Image Encryption Using a Spectrally Efficient Halton Logistics Tent (HaLT) Map and DNA Encoding for Secured Image Communication

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