A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

SundaraKrishnan, K; Sp, Raja Mohana; Jaison, B

doi:10.5755/j01.itc.50.1.28012

Cited by 6 publications

(3 citation statements)

References 41 publications

(67 reference statements)

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“…An image encryption technique aims to change an original idea into an obscure one. Most security measures in healthcare digital image technologies are based on well-known encryption algorithms, including AES, DES, RSA, and IDEA [35].…”

Section: Effective Steganography Propertiesmentioning

confidence: 99%

Security in Medical Image Management Using Ant Colony Optimization

Karthikeyini¹,

Sagayaraj²,

Rajkumar

et al. 2023

ITC

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Data encryption before transmission is still a crucial step in lowering security concerns in cloud-based environments. Steganography and image encryption methods validate the security of confidential data while it is being transmitted over the Internet. The paper presents the Ant Colony Optimization with Encryption Curve cryptography-based steganography technique to enhance the security of medical image management (ACO-ECC-SMIM). The initial stage is to create the stego images for the used cover image, the ACO algorithm-based image steganography technique is used. The creation of the encryption process is a key focus of the suggested ACO-ECC-SMIM strategy. The encryption process is initially carried out using an ECC technique, or elliptic curve cryptography. To maximize PSNR, the ACO technique is employed to optimize the crucial production process in the ECC model. The host image is subjected to an integer wavelet transform, and the coefficients have been altered. To determine the ideal coefficients where to conceal the data, the ACO optimization technique is utilized. The decryption and sharing reconstruction procedures are then carried out on the receiver side to create the original images. In image 1, the ACO-ECC-SMIM model showed an improved PSNR of 59.37dB. Image 5 has an improved PSNR of 59.53dB thanks to the ACO-ECC-SMIM model. A large-scale experimental investigation was conducted to show the improved performance of the proposed PIOE-SMIM method, and the findings demonstrated the superiority of the ACO-ECC-SMIM model over other approaches.

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Section: Effective Steganography Propertiesmentioning

confidence: 99%

Security in Medical Image Management Using Ant Colony Optimization

Karthikeyini¹,

Sagayaraj²,

Rajkumar

et al. 2023

ITC

View full text Add to dashboard Cite

show abstract

“…The approach proposed in [ 28 ] combines chaotic systems with particle swarm optimization algorithm to improve the security of color image encryption. In [ 29 ], a dual permutation and dual substitution framework that utilizes cellular automata, chaos theory and image mixing is proposed for color image encryption. The work in [ 30 ] proposes an Enhanced Logistic Map (ELM) that can be combined with chaotic maps and simple encryption techniques to improve the security of cipher images.…”

Section: Introductionmentioning

confidence: 99%

Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems

Man

Song

2023

Entropy

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In the past decade, a large amount of important digital data has been created and stored in the form of color images; the protection of such data from undesirable accesses has become an important problem in information security. In this paper, a new approach based on an evolutionary framework is proposed for the secure encryption of color images. The image contents in a color image are first fully scrambled with a sequence of bit-level operations determined by a number of integer keys. A scrambled image is then encrypted with keys generated from an evolutionary process controlled by a set of chaotic systems. Analysis and experiments show that the proposed approach can generate encrypted color images with high security. In addition, the performance of the proposed approach is compared with that of a few state-of-the-art approaches for color image encryption. The results of the comparison suggest that the proposed approach outperforms the other approaches in the overall security of encrypted images. The proposed approach is thus potentially useful for applications that require color image encryption.

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“…Choi et al combined chaotic maps and cellular automata for encryption [ 21 , 22 ]. Sundarakrishnan et al used chaotic mapping and cellular automata to encrypt color images, increased the key space, and used a double permutation and replacement framework, which significantly reduced the correlation and improved the security of the algorithm [ 23 ]. Based on the advantage of chaos theory to encryption, many scholars began to use multiple chaotic systems in the encryption framework.…”

Section: Introductionmentioning

confidence: 99%

Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple Chaotic Systems

Wang

Song

El‐Latif

2022

Entropy

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This paper puts forward a new algorithm that utilizes compressed sensing and two chaotic systems to complete image compression and encryption concurrently. First, the hash function was utilized to obtain the initial parameters of two chaotic maps, which were the 2D-SLIM and 2D-SCLMS maps, respectively. Second, a sparse coefficient matrix was transformed from the plain image through discrete wavelet transform. In addition, one of the chaotic sequences created by 2D-SCLMS system performed pixel transformation on the sparse coefficient matrix. The other chaotic sequences created by 2D-SLIM were utilized to generate a measurement matrix and perform compressed sensing operations. Subsequently, the matrix rotation was combined with row scrambling and column scrambling, respectively. Finally, the bit-cycle operation and the matrix double XOR were implemented to acquire the ciphertext image. Simulation experiment analysis showed that the compressed encryption scheme has advantages in compression performance, key space, and sensitivity, and is resistant to statistical attacks, violent attacks, and noise attacks.

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A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

Cited by 6 publications

References 41 publications

Security in Medical Image Management Using Ant Colony Optimization

Security in Medical Image Management Using Ant Colony Optimization

Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems

Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple Chaotic Systems

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