Novel encryption for color images using fractional-order hyperchaotic system

Hosny, Khalid M.; Kamal, Sara T.; Darwish, Mohamed M.

doi:10.1007/s12652-021-03675-y

Cited by 62 publications

(28 citation statements)

References 51 publications

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“…However, this study did not address the hyperchaotic system, so it did not produce the desired results. A unique use of fractional-order chaotic systems in color picture encryption was presented in the study [6]. They merged the Fibonacci Q-matrix with the 4D hyperchaotic Chen system of fractionalorder.…”

Section: Literature Review and Problem Statementsmentioning

confidence: 99%

“…In a variety of image-processing applications, the fractional-order functions outperform their similar integer-order functions. A method for encrypting color images using fractional-order chaotic systems is suggested by [5][6][7]. The Fibonacci Q-matrix coupled with the fractional-order 4D hyperchaotic Chen system ensures the effectiveness of the encryption method and its defense against attacks [6].…”

Section: Literature Review and Problem Statementsmentioning

confidence: 99%

“…A method for encrypting color images using fractional-order chaotic systems is suggested by [5][6][7]. The Fibonacci Q-matrix coupled with the fractional-order 4D hyperchaotic Chen system ensures the effectiveness of the encryption method and its defense against attacks [6]. Real-time image encryption using a chaotic key generator is an illustration of an integrated encryption system as shown in Fig.…”

Section: Literature Review and Problem Statementsmentioning

confidence: 99%

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Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

Hussein

Hamza

Al-Shoukry

et al. 2022

EEJET

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In the era of information technology, users had to send millions of images back and forth daily. It's crucial to secure these photos. It is important to secure image content using digital image encryption. Using secret keys, digital images are transformed into noisy images in image encryption techniques, and the same keys are needed to restore the images to their original form. The majority of image encryption methods rely on two processes: confusion and diffusion. However, previous studies didn’t compare recent techniques in the image encryption field.This research presents an evaluation of three types of image encryption algorithms includinga Fibonacci Q-matrix in hyperchaotic, Secure Internet of Things (SIT), and AES techniques. The Fibonacci Q-matrix in the hyperchaotic technique makes use of a six-dimension hyperchaotic system's randomly generated numbers and confuses the original image to dilute the permuted image. The objectives here areto analyze the image encryption process for the Fibonacci Q-matrix in hyperchaotic, Secure Internet of Things (SIT), and Advanced Encryption Standard (AES), and compare their encryption robustness. The discussed image encryption techniques were examined through histograms, entropy, Unified Average Changing Intensity (UACI), Number of Pixels Change Rate (NPCR), and correlation coefficients. Since the values of the Chi-squared test were less than (293) for the Hyperchaotic System & Fibonacci Q-matrix method, this indicates that this technique has a uniform distribution and is more efficient. The obtained results provide important confirmation that the image encryption using Fibonacci Q-matrix in hyperchaotic algorithm performed better than both the AES and SIT based on the image values of UACI and NPCR.

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Section: Literature Review and Problem Statementsmentioning

confidence: 99%

Section: Literature Review and Problem Statementsmentioning

confidence: 99%

Section: Literature Review and Problem Statementsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

Hussein

Hamza

Al-Shoukry

et al. 2022

EEJET

View full text Add to dashboard Cite

show abstract

“…In equation ( 1), 𝑑𝑥 𝑖 𝑑𝑡 , 𝑖 = 1,2,3,4 is the derivative for time t and 𝑚, 𝑛, 𝑝, 𝑞, 𝑟 are the chaotic system's parameters, which has two positive Lyapunov exponents when 𝑚 = 35, 𝑛 = 3, 𝑝 = 12, 𝑞 = 7, 𝑟 = 0.3, which implies that the system is hyperchaotic [49].…”

Section: A 4d Hyperchaotic Chen Systemmentioning

confidence: 99%

An Image Encryption Algorithm Based on Improved Lifting-Like Structure and Cross-Plane Zigzag Transform

Ziming

et al. 2022

IEEE Access

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With the increasing development of information technology, image information security has received more and more attention. Furthermore, image encryption is one of the most powerful methods to ensure image information security and plays a vital role in modern society. This paper proposes an image encryption algorithm based on an improved lifting-like structure and cross-plane zigzag transform. First, to overcome the problem of simple original lifting-like structure and single update function. We modularize the original image and add new update functions and prediction functions to handle the information between different modules. Our proposed structure has higher encryption quality and can better spread the information between each image pixel. Secondly, we propose a cross-plane zigzag transform, which can effectively eliminate the correlation between adjacent elements of the original image by applying the zigzag transform to the replacement between different planes, overcoming the disadvantage that the traditional zigzag transform is limited in scanning mode and challenging to resist brute-force attack. The experimental results show that compared with other state-of-the-art schemes, this scheme has higher information entropy, can well resist selective plaintext attacks and differential attacks, and has better security.

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“…Recently, a multilayer type-2 fuzzy control system was discussed for the synchronization of 5D nonlinear chaotic systems [15]. Hosny et al introduced a 4D hyperchaotic Chen system for color image encryption [16]. Yan et al presented a 5D fractional chaotic system synchronization, which could be a good choice for secure transmission [17].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

et al. 2022

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This paper presents a new hybrid neural network for time series prediction and chaotic synchronization. The proposed controller consists of a wavelet interval type-2 Takagi Sugeno Kang fuzzy brain emotional learning controller (WIT2TFBELC), a wavelet interval type-2 Takagi Sugeno Kang fuzzy cerebellar model articulation controller (WIT2TFCMAC), and a robust compensator (RB). The main controller combines the WIT2TFBELC and the WIT2TFCMAC. A TSK fuzzy system is used to create a hybrid structure with the WIT2TFBELC and the WIT2TFCMAC. The TSK fuzzy system can effectively adjust the weighting for the main controller to achieve the time series prediction and chaotic prediction with better tracking response. Morever a robust compensator is used to achieve robust ability of the system. A Lyapunov function was used to establish the adaptive laws and effectively adjust the system parameters online. Finally, two examples of the application of the proposed algorithm are presented to point out the performance of proposed method.INDEX TERMS TSK fuzzy system, Interval type-2 wavelet function, brain emotional learning control, cerebellar model articulation controller, 5D chaotic system, Henon map time series.

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Novel encryption for color images using fractional-order hyperchaotic system

Cited by 62 publications

References 51 publications

Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

Evaluating image encryption algorithms for the hyperchaotic system and fibonacci q-matrix, secure internet of things, and advanced encryption standard

An Image Encryption Algorithm Based on Improved Lifting-Like Structure and Cross-Plane Zigzag Transform

Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

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