Image encryption based on highly sensitive chaotic system

Ali, Dalia S.; Alwan, Nawras A.; Al-Saidi, Nadia M. G.

doi:10.1063/1.5136200

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…x 1n+1 = 0.9822x 1n + 0.01793x 2n − Qx 1n x 3n x 2n+1 = 1.01x 2n + 5.02 × 10 −4 x 1n x 3n + u n x 3n+1 = 0.9985x 3n + 4.996 × 10 −4 x 2n x 3n (2) u n is the synchronization controller includes proportional and differential controller as shown in Equation (3). The proportional controller (K p ) will consider the current error to speed up the time of the transient response so that the chaotic system, slave, will turn into a steady-state and synchronize with master as soon as possible.…”

Section: Pd Controller Synchronizing Chaotic Systemsmentioning

confidence: 99%

“…In this study, because the chaotic system is extremely sensitive to initial conditions [2] and can generate the random sequence dynamically, we use digital signals generated by two discretized chaotic systems rather than the analog signals with the continuous system [3] to avoid the problem of the aging of electronic components [4] which may break down the stability of the chaotic system. With the chaotic digital signals, we encrypt the biomedical information and design a proportional-derivative (PD) controller to synchronize the systems, and then to recover the biomedical information.…”

Section: Introductionmentioning

confidence: 99%

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Chaos-Based Secure Communications in Biomedical Information Application

et al. 2021

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Recently, with the rapid development of biomedical information, establishing secure communication and appropriate security services has become necessary to ensure a secure information exchange process. Therefore, to protect the privacy and confidentiality of personal data, in this study, we use a chaotic system, Lü system of the Lorenz-like system, to generate chaotic signals and apply them to encrypt the biomedical information. In addition, with one of the states of the chaotic system, we design a simple proportional-derivative (PD) controller to synchronize the master-slave chaotic systems for decrypting the biomedical information. Then, we encrypt the biomedical information, electrocardiography (ECG) and electromyography (EMG), measured about 30 s to 60 s to get tens of thousands of data from the subjects at the transmitting side (master) and send them to the receiving side (slave). After the receiving side receives the encrypted information, it decrypts them with the PD controller and then obtains the 1 mV to 2 mV biomedical signals. Thus, the security of the biomedical information can be ensured and realized.

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Section: Pd Controller Synchronizing Chaotic Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chaos-Based Secure Communications in Biomedical Information Application

et al. 2021

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“…Due to the unpredictability, ergodicity and extremely sensitivity to initial conditions of chaotic system [16], it is eminently suitable for chaotic cryptography. So far, scholars have proposed quite a lot of image encryption schemes based on chaotic systems [17][18][19][20][21][22][23][24][25][26][27][28]. For example, Ali et al [17] designed a new image encryption scheme based on the constructed 2D hyperchaotic system derived from Henon map, logistic map and iterative infinite folding chaotic map.…”

Section: Introductionmentioning

confidence: 99%

Dynamic analysis of a fractional-order hyperchaotic system and its application in image encryption

Shi¹,

An²,

Yang³

et al. 2022

Phys. Scr.

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Compared with integer order chaotic systems, fractional order chaotic systems can reflect natural phenomena more accurately, which are more suitable for chaotic cryptosystems. In order to explore the application of fractional order chaotic system in cryptography, a novel fractional order hyperchaotic system is constructed and implemented on DSP platform. More progressively, based on Adomian decomposition method, the dynamic behavior is studied by phase diagram, bifurcation diagram, Lyapunov exponent spectrum and spectral entropy (SE) complexity. It is found that each parameter and order have a large range of intervals that can keep the system in a hyperchaotic state. Therefore, the hyperchaotic sequences generated by the constructed fractional order hyperchaotic system have sufficient randomness and are well suited for applications in secure communications. In addition, a color image encryption scheme is designed based on the fractional order hyperchaotic system and DNA dynamic coding. Firstly, the improved Arnold algorithm is used to scramble the original image, then the column cyclic shift method is applied for secondary scrambling, and finally the pixel value is diffused by DNA sequence operation. The security analysis results indicate that the designed encryption algorithm can not only encrypt images effectively, but also has high security and can resist various common attacks.

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“…Because the image has a high correlation between adjacent pixels and data redundancy, these characteristics lead to the unsatisfactory results of traditional encryption methods and are easy to be attacked [ 7 , 8 ]. Given the limitations of traditional encryption methods, many scholars have also proposed corresponding image encryption algorithms [ 9 , 10 , 11 , 12 ]. Image encryption algorithms based on chaotic systems have become a research hotspot.…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Scheme Based on Logistic Quantum Chaos

Wang

Chen

et al. 2022

Entropy

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This paper proposes an image encryption scheme based on logistic quantum chaos. Firstly, we use compressive sensing algorithms to compress plaintext images and quantum logistic and Hadamard matrix to generate the measurement matrix. Secondly, the improved flexible representation of the quantum images (FRQI) encoding method is utilized for encoding the compressed image. The pixel value scrambling operation of the encoded image is realized by rotating the qubit around the axis. Finally, the quantum pixel is encoded into the pixel value in the classical computer, and the bit-level diffusion and scrambling are performed on it. Numerical analysis and simulation results show that our proposed scheme has the large keyspace and strong key sensitivity. The proposed scheme can also resist standard attack methods such as differential attacks and statistical analysis.

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Image encryption based on highly sensitive chaotic system

Cited by 10 publications

References 10 publications

Chaos-Based Secure Communications in Biomedical Information Application

Chaos-Based Secure Communications in Biomedical Information Application

Dynamic analysis of a fractional-order hyperchaotic system and its application in image encryption

An Image Encryption Scheme Based on Logistic Quantum Chaos

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