An image encryption algorithm based on BP neural network and hyperchaotic system

Yang, Feifei; Mou, Jun; Cao, Yinghong; Chu, Ran

doi:10.23919/jcc.2020.05.003

Cited by 59 publications

(40 citation statements)

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“…Then four chaotic sequences with size of 1 × are obtained by abandoning the former T 0 values, as shown in Eq. (16).…”

Section: Pre-encryption Processmentioning

confidence: 99%

“…However, since the sensor matrix is obtained by performing linear projection on the sparse signal, it is vulnerable to the known-and chosen-plaintext attacks [6][7]. Thus, to attain a higher security level, researchers have proposed varied image protection algorithms by combining compressed sensing with other encryption techniques, such as chaos theory [8][9][10], coding technology [11][12], cellular automata [13][14], neural network [15][16] and so on.…”

Section: Introductionmentioning

confidence: 99%

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Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

Jiang

Liu

Zhu

et al. 2021

Preprint

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The transmission of images via the Internet has grown exponentially in the past few decades. However, the Internet considered as an insecure method of information transmission may cause serious privacy issues. In order to overcome such potential security issues, a novel double-image visually meaningful encryption (DIVME) algorithm conjugating quantum cellular neural network (QCNN), compressed sensing (CS) and fractional Fourier transform (FRFT) is proposed in this paper. First, the wavelet coefficients of the two plain images are scrambled by the Fisher-Yates confusion algorithm, and then compressed by the key-controlled partial Hadamard matrix. The final meaningful cipher image is generated by embedding the encrypted images into a host image with the same resolution of the plain image via the FRFT-based embedding method. Besides, the eigenvalues of the plain images are utilized to generate the key stream to improve the ability of proposed DIVME algorithm to withstand the plaintext attacks. Afterwards, the plaintext eigenvalues are embedded into the alpha channel of the meaningful cipher image under control of the keys to reduce unnecessary storage space and transmission costs. Ultimately, the simulation results and security analyses indicate that the proposed DIVME algorithm is effective and can withstand multiple attacks.

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“…Then four chaotic sequences with size of 1 × are obtained by abandoning the former T 0 values, as shown in Eq. (16).…”

Section: Pre-encryption Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

Jiang

Liu

Zhu

et al. 2021

Preprint

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show abstract

“…An image compression and encoding method using a backpropagation NN and a hyperchaotic system have been suggested. A backpropagation NN is used to compress the image pixel values, and the chaotic series of the memristive hyperchaotic system is applied to diffuse the pixel values [24]. A safe audio transmission method is introduced, combining four different techniques for encoding audio in the same system for even more security.…”

Section: Introductionmentioning

confidence: 99%

Synchronization of Chaotic System Using a Brain-Imitated Neural Network Controller and Its Applications for Secure Communications

2021

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This paper proposes a new hybrid algorithm for secure communication applications. The proposed algorithm includes a fuzzy brain emotional learning controller (FBELC), a recurrent cerebellar model articulation controller (RCMAC), and a robust compensator (RC). The main brain-imitated neural network controller is a combination of the RCMAC and the FBELC, which is a mathematical model that approximates the decision and emotional activity of a human brain. A fuzzy inference system is also merged into the FBELC to produce an efficient hybrid structure, then it is used for secure communication applications. The 3-dimensional (3D) Genesio chaotic system is used for audio and image secure communication systems to show the potency and performance of the proposed algorithm. In the first application, a new image encryption algorithm is proposed to enhance security for information transmission, then several standard images are applied for the chaotic synchronization of image secure communication. In the second application, the audio signal is embedded in a 3D chaotic trajectory, which is used as an encryption carrier signal, after using the proposed method for the decryption, the source signal can be retrieved. The comparisons of simulation results using security analyses and root mean square error for recent algorithms are performed to validate the performance and efficiency of the proposed hybrid algorithm. The simulation results point out that our algorithm can attain better synchronization performance, and achieve more efficient audio and image secure communications.INDEX TERMS fuzzy inference system, brain emotional learning control, recurrent cerebellar model articulation controller, 3D chaotic systems, audio secure communication, image secure communication.

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“…Sahin et al (2020) proposed a memristor based 4-D hyperchaotic circuit and implemented it for communication systems on FPGA platform [5]. Yang et al (2020) suggested an image compression and encryption algorithm based on fractional-order memristive hyperchaotic system and back propagation neural network [6]. Ahmad et al (2021) proposed an image cryptosystem based on hyperchaotic system [7].…”

Section: Introductionmentioning

confidence: 99%

A 5-D Multi-Stable Hyperchaotic Two-Disk Dynamo System With No Equilibrium Point: Circuit Design, FPGA Realization and Applications to TRNGs and Image Encryption

Vaidyanathan

Sambas²,

Abd-El-Atty

et al. 2021

IEEE Access

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In this work, we devise a new 5-D hyperchaotic dynamo system by adding two feedback controllers to the Rikitake 2-disk dynamo system (1958). We show that the new 5-D hyperchaotic system does not possess any equilibrium point and deduce that the new 5-D system has a hidden hyperchaotic attractor. Using Multisim, we develop an electronic circuit design of the new 5-D hyperchaotic dynamo system for practical applications. We also exhibit the implementation of the new 5-D hyperchaotic dynamo system by using a field-programmable gate array (FPGA), which requires adders, subtractors and multipliers. The hardware resources are given for the application of three numerical methods, all of them providing results in good agreement with MATLAB simulations. As an application, we devise a dual core high speed hybrid true random number generator (TRNG) using Ring and Heun algorithm based on the new 5-D hyperchaotic oscillator on FPGA. Based on the hyperchaotic features of the proposed 5-D hyperchaotic dynamo system, we suggest a new encryption approach for colour images. Simulation outcomes of the presented encryption approach confirm that our chaotic system has good cryptographic properties and its usability in different cryptographic purposes.

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An image encryption algorithm based on BP neural network and hyperchaotic system

Cited by 59 publications

References 1 publication

Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

Synchronization of Chaotic System Using a Brain-Imitated Neural Network Controller and Its Applications for Secure Communications

A 5-D Multi-Stable Hyperchaotic Two-Disk Dynamo System With No Equilibrium Point: Circuit Design, FPGA Realization and Applications to TRNGs and Image Encryption

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