A new method for image encryption by 3D chaotic map

Saljoughi, Ahmad Shokouh; Mirvaziri, Hamid

doi:10.1007/s10044-018-0765-5

Cited by 40 publications

(10 citation statements)

References 17 publications

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“…Optimization for optimized encrypted image TSO algorithm [32] is proposed to obtain the channel's optimum DNA-encoded key image. Tuna is a marine carnivorous fish.…”

Section: Dna Diffusion and Tuna Swarmmentioning

confidence: 99%

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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Images and video-based multimedia data are growing rapidly due to communication network technology. During image compression and transmission, images are inevitably corrupted by noise due to the influence of the environment, transmission channels, and other factors, resulting in the damage and degradation of digital images. Numerous real-time applications, such as digital photography, traffic monitoring, obstacle detection, surveillance applications, automated character recognition, etc are affected by this information loss. Therefore, the efficient and safe transmission of data has become a vital study area. In this research, an image compression–encryption system is proposed to achieve security with low bandwidth and image de-noising issues during image transmission. The Chevrolet transformation is proposed to improve image compression quality, reduce storage space, and enhance de- noising. A 3D chaotic logistic map with DNA encoding and Tuna Swarm Optimization is employed for innovative image encryption. This optimization approach may significantly increase the image's encryption speed and transmission security. The proposed system is built using the Xilinx system generator tool on a field-programmable gate array (FPGA). Experimental analysis and experimental findings show the reliability and scalability of the image compression and encryption technique designed. For different images, the security analysis is performed using several metrics and attains 32.33 dB PSNR, 0.98 SSIM, and 7.99721 information entropy. According to the simulation results, the implemented work is more secure and reduces image redundancy more than existing methods.

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“…Optimization for optimized encrypted image TSO algorithm [32] is proposed to obtain the channel's optimum DNA-encoded key image. Tuna is a marine carnivorous fish.…”

Section: Dna Diffusion and Tuna Swarmmentioning

confidence: 99%

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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“…In addition, the chaotic systems are created via deterministic equations with vital benefits to create pseudo-random numbers since they were qualified with maximum sensitivity to the initial values as well as parameters, ergodicity, dense form, and so on. Currently, the chaotic systems were majorly utilized in the systems of image encryption as key stream generators [3,4], and extended with multiple images [5], in A.I also using the chaotic system to generated ranomen population and using in another application [6] might be categorized into 2 categories: 1D chaotic maps [7,8] and multi-dimensional (MD) chaotic maps [7,6]. Normally, 1D chaotic maps consist of a single variable [42][43][44][45][46] and a number of parameters.…”

Section: Introductionmentioning

confidence: 99%

Multi Chaotic System to Generate Novel S-Box for Image Encryption

Nasry

Abdallah²,

Farhan³

et al. 2022

J. Phys.: Conf. Ser.

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A novel method on the basis of multi chaos theory is suggested in the presented study. Also, the study used two different dimensions to generate S-Box to get a strong cipher that is difficult to break. The suggested image cryptosystem includes an identical (decryption and encryption) process, which involves a single keystream generator, shifting process (based on 3D Lorenz map) related diffusion operations, and generate S-Box (based on 2D Henon map) that related confusion operation. The comparative analysis and the simulate test show that the suggested image cryptosystem has a few properties, like high-sensitivity, fast encryption/decryption, large keyspace, excellent statistical properties related to the ciphertext, and so on. The suggested cryptosystem is considered as an alternative for practical secure communications.

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“…Liu and Miao [13] applied a new image encryption structure based on a new simple 1D chaotic map. In [14], Shokouh Saljoughi and Mirvaziri presented a novel algorithm with three non‐linear chaotic sequences which are three‐dimensional logistic maps for image encryption. The work by Montesinos‐García and Martinez‐Guerra [15] presents an encryption algorithm for colour RGB images and text based on fractional chaotic systems.…”

Section: Introductionmentioning

confidence: 99%

Image encryption using a combination of Grain‐128a algorithm and Zaslavsky chaotic map

et al. 2020

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Encryption is a very important way to secure data in storage and communication, and it is a process of encoding messages or information in such a manner that only authorised persons can access it. Different techniques are used to protect confidential image data against illicit access. In image encryption using chaotic systems, most authors use or design algorithms to generate the initial parameters’ values from the secret key. However, as the key size depends on the number of these parameters, the used algorithms show little sensitivity to small changes in the key. To enhance both security and sensitivity in the choice of the initial parameters, this work combines the use of the Grain‐128a stream cipher algorithm with two‐dimensional Zaslavsky chaotic map. Firstly, the Grain‐128a algorithm is applied to generate the required parameters of Zaslavsky's chaotic map from a fixed length 256‐bit secret key. Secondly, the sequences generated by the chaotic map are used to encrypt the image using a bit confusion and diffusion process. The simulation results on greyscale, colour, binary, indexed, and medical images together with the scores obtained in the evaluation of the algorithm show that the proposed method is very sure and effective in encrypting images of any size and any type.

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A new method for image encryption by 3D chaotic map

Cited by 40 publications

References 17 publications

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Multi Chaotic System to Generate Novel S-Box for Image Encryption

Image encryption using a combination of Grain‐128a algorithm and Zaslavsky chaotic map

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