A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding

Maddodi, Gururaj; Awad, Abir; Awad, Dounia; Awad, Mirna; Lee, Brian

doi:10.1007/s11042-018-5669-2

Cited by 68 publications

(21 citation statements)

References 23 publications

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“…The secret keys generated by the intertwining logistic map are improved by the Fourier-Mellin based matrix. Finally, the image In 2018, Maddodi et al [50] proposed a method that integrates ANN, chaos based pseudorandom sequence generator and DNA based chaotic encryption algorithm for image encryption. A heterogeneous neural network based chaotic pseudo random generator is used to manage the pixel position permutation, DNA-based bit substitution and permutation method.…”

Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

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Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption.

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Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

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show abstract

“…The researcher verified the security and effectiveness of this method by attacking the encrypted image. Maddodi et al [23] proposed a new pseudorandom sequence generator that combines a neural network with chaos and a chaotic encryption algorithm based on DNA rules for the secure transmission and storage of images. This scheme uses a new control encryption algorithm of the heterogeneous chaotic neural network generator and optimizes the performance of the generated chaotic sequences by dynamically updating the control parameters and number of iterations of the chaotic map.…”

Section: Introductionmentioning

confidence: 99%

Color Image Encryption Algorithm Based on DNA Coding and Double Chaos System

Liu

2020

IEEE Access

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This paper combines DNA computing with double-chaos systems and proposes an algorithm for color image encryption at the bit level. First, we use Arnold algorithm to scramble the three components of the color image, and the number of iterations was determined by the average of the three components, which improved the scrambling effect of Arnold algorithm. Secondly, after a lot of experiments, we propose a double-chaos system composed of Lorenz chaotic mapping with variable parameters and fourth-order Rossler hyperchaotic mapping to generate three sets of chaotic sequences for diffusion operation. The double-chaos system compensates the pseudo-randomness of the two types of chaotic mappings, making chaotic sequences more difficult to predict. Then, we transform the chaotic component images and chaotic sequences into DNA sequences in accordance with eight DNA coding rules, and the coding rules are determined by plaintext information or generated chaotic sequences. We also perform addition, subtraction, and XOR operations on them. DNA computation can realize color image bit-level diffusion and reduce the computational cost. The plaintext information is embedded in the encryption process to achieve ''One-Time Pad''. Simulation experiments and detailed analysis are conducted with the proposed encryption scheme to prove that the algorithm has good security performance and can effectively resist all types of attacks, indicating that the proposed algorithm is competitive. INDEX TERMS Color image encryption, bit level, DNA computing, double-chaos system.

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“…For example, Maddodi et al . [19] proposed a new combined neural network and chaos‐based pseudorandom sequence generator and a DNA‐rules‐based chaotic encryption algorithm. The algorithm had high cryptographic quality, but, it had poor robustness and was insecure against differential attack due to its poor unified average changing intensity (UACI).…”

Section: Introductionmentioning

confidence: 99%

“…Owing to its inherent features, more and more researchers are taking advantage of different DNA techniques. Therefore, a number of these image cryptosystems with the idea of combining chaos and DNA computing have been proposed [18–22]. For example, Maddodi et al .…”

Section: Introductionmentioning

confidence: 99%

Image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding

Zhang

Han

2019

IET image process

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In order to improve the problems of security and robustness for existing image encryption algorithms and to reduce the security risks of encryption algorithms against statistical analysis, differential attacks, exhaustive attacks, cropping and noise attacks etc., a novel image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding is proposed. Firstly, extracting the image features and evenly block after pre‐processing the original image and fingerprint image. Secondly, the features are generated to be a binary hash sequence through the image hash algorithm, and the generated hash sequence is iterated as the initial parameter of the improved chaotic map and Chen's chaotic system. Finally, Chen's chaotic system is used to generate a random sequence, and the matrix generated by the improved chaotic map and the original image is subjected to DNA calculation and encoding operations to obtain an encrypted image. Experimental results show that the proposed algorithm has better performance on security, larger key space and higher key sensitivity, the pixel correlation coefficient close to 0, the information entropy close to 8, unified average changing intensity and number of pixels change rate values are close to ideal values, and it has better robustness on noise and cropping attacks.

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A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding

Cited by 68 publications

References 23 publications

Survey on computational intelligence based image encryption techniques

Survey on computational intelligence based image encryption techniques

Color Image Encryption Algorithm Based on DNA Coding and Double Chaos System

Image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding

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