A simple, sensitive and secure image encryption algorithm based on hyper-chaotic system with only one round diffusion process

Norouzi, Benyamin; Mirzakuchaki, Sattar; Seyedzadeh, Seyed Mohammad; Mosavi, Mohammad Reza

doi:10.1007/s11042-012-1292-9

Cited by 191 publications

(93 citation statements)

References 56 publications

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“…However, histogram for proposed modified BA of case 1 acquires the best pixels distribution based on smooth surface at all point especially on the final limit surface. Highly superior and similar pixels distribution verify the difficulties of the statistical attacks [30]. The improvement in CC (Table 2) in all directions for the three cases is near zero.…”

Section: Resultssupporting

confidence: 52%

Chaotic map-embedded Blowfish algorithm for security enhancement of colour image encryption

Jawad

Sulong

2015

Nonlinear Dyn

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The quest for achieving an accurate and efficient algorithm in enhancing the security of colour image encryption is never-ending. We enhance the security level of conventional Blowfish algorithm (BA) for colour image encryption by modifying it with new F-function. The dynamic S-box and XOR operator are generated from the F-function via four-dimensional hyper-chaotic map, and the number of iterations is dramatically reduced from sixteen to four to simplify the processing complexity. The block secret keys of varying space size are randomly created. The computation is performed using Matlab R2008a codes on eight images of size 512 × 512 pixels obtained from standard USC-SIPI Image Database. The security of the proposed method exhibits notable enhancement with increasing block size. Performance analyses reveal a correlation coefficient less than −0.0016 and entropy greater than 7.9993. Furthermore, the distribution of RGB channel for image Lena displays sizeable security improvements. Correlation between image pixels is significantly decreased with higher entropy. In comparison with previous works, the proposed algorithm is found to exhibit superior performance for colour image encryption than the conventional BA.

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Section: Resultssupporting

confidence: 52%

Chaotic map-embedded Blowfish algorithm for security enhancement of colour image encryption

Jawad

Sulong

2015

Nonlinear Dyn

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“…The Lyapunov exponent (LE) is a type of measurement methodology for chaotic level, and a chaotic system is said to be hyperchaotic if it has two or more positive LEs [18]. Since hyperchaotic systems have more advantages such as richer dynamic phenomena and higher randomness than common chaotic systems, lots of hyperchaotic systems have been employed to encrypt images [19][20][21][22][23]. For example, Norouzi et al used the key stream generated by a hyperchaotic system to perform one round diffusion on the image to attain good results [20].…”

Section: Introductionmentioning

confidence: 99%

“…Since hyperchaotic systems have more advantages such as richer dynamic phenomena and higher randomness than common chaotic systems, lots of hyperchaotic systems have been employed to encrypt images [19][20][21][22][23]. For example, Norouzi et al used the key stream generated by a hyperchaotic system to perform one round diffusion on the image to attain good results [20]. A novel image encryption algorithm based on genetic recombination and hyperchaotic Lorenz system was put forward by Wang and Zhang [21].…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Yang

et al. 2017

Complexity

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In the era of the Internet, image encryption plays an important role in information security. Chaotic systems and DNA operations have been proven to be powerful for image encryption. To further enhance the security of image, in this paper, we propose a novel algorithm that combines the fractional-order hyperchaotic Lorenz system and DNA computing (FOHCLDNA) for image encryption. Specifically, the algorithm consists of four parts: firstly, we use a fractional-order hyperchaotic Lorenz system to generate a pseudorandom sequence that will be utilized during the whole encryption process; secondly, a simple but effective diffusion scheme is performed to spread the little change in one pixel to all the other pixels; thirdly, the plain image is encoded by DNA rules and corresponding DNA operations are performed; finally, global permutation and 2D and 3D permutation are performed on pixels, bits, and acid bases. The extensive experimental results on eight publicly available testing images demonstrate that the encryption algorithm can achieve state-of-the-art performance in terms of security and robustness when compared with some existing methods, showing that the FOHCLDNA is promising for image encryption.

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“…That is to say, the pixel value is associated with each other [18][19]. According to this idea, a new diffusion method is proposed.…”

Section: Image Scrambling Processmentioning

confidence: 99%

Bit-Level Image Encryption Algorithm Based on Composite Chaotic Mapping

Cai¹,

Zhang²,

Guo³

et al. 2016

IJSIP

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A simple, sensitive and secure image encryption algorithm based on hyper-chaotic system with only one round diffusion process

Cited by 191 publications

References 56 publications

Chaotic map-embedded Blowfish algorithm for security enhancement of colour image encryption

Chaotic map-embedded Blowfish algorithm for security enhancement of colour image encryption

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Bit-Level Image Encryption Algorithm Based on Composite Chaotic Mapping

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