Generating rotationally hidden attractive sea via a new chaotic system with two mixed memristors

In response to the large size of remote sensing images and the limitations of existing image compression and encryption algorithms, this paper proposes a novel compression and encryption algorithm. The proposed algorithm utilizes a new type of memristive chaotic mapping in combination with PSO-BP neural networks and multi-threaded parallelism. Specifically, the proposed novel two-dimensional memristive chaotic mapping involves a combination of new memristors based on HP memristors and Cubic chaotic mapping. Compared to existing chaotic systems, this method exhibits stronger randomness and hyperchaotic characteristics. Additionally, to improve the reconstruction accuracy of compressed images, a traditional BP neural network with an added hidden layer is combined with the PSO algorithm for image compression and reconstruction. Furthermore, to enhance the encryption efficiency of remote sensing images, a multi-threaded parallel encryption method is employed, enabling simultaneous permutation within and among threads. Experimental results demonstrate that the proposed algorithm achieves good compression reconstruction accuracy, excellent encryption performance, and resistance to attacks.

Section: Generation Of Initial States Of a Memristive Chaotic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Compression and encryption for remote sensing image based on PSO-BP and 2D-MCCM

Li,

Feng,

Zhou

et al. 2024

“…Wen et al [4] presented a new image encryption method based on a twodimensional logically adjusted sinusoidal map (2D-LASM) and Discrete Wavelet Transform (DWT). Besides, other theoretical models of chaotic systems, such as neural network chaotic systems, have been proposed [5][6][7][8][9]. Some scholars construct a memristive hyperchaotic framework to enhance the complexity of the system, effectively addressing the issues of discontinuous chaotic ranges and low Lyapunov exponents in common hyperchaotic systems [10].…”

Section: Introductionmentioning

confidence: 99%

Blind watermarking algorithm with 2D-SCCM chaotic system encryption based on SURF and RHFMs

Lu,

Feng,

Teng

et al. 2024

In this paper, a digital watermarking algorithm was proposed based on local feature regions and radial harmonic Fourier moments. It used a quantized modulation algorithm to embed the watermark information into the frequency domain information of the image. Compared with traditional watermark directedly embedded into the pixel values, the algorithm enhanced the invisibility of the watermark. Many existing digital watermarking algorithms neglected the security of the embedding process, because of more attention on the effect of post-embedding and extraction. To overcome this problem, we proposed a two-dimensional hyperchaotic system named 2D-SCCM chaotic system, which used classical sine mapping and cubic mapping for coupling. Before embedding, the correlation among the pixels of the watermarked image was disrupted, resulting in a full process security enhancement. Combining the clustering algorithm with feature point extraction, the obtained local feature region was more stable and suitable for watermark embedding. Results showed that the improved watermark embedding algorithm was more effective for resisting geometric attacks such as cropping attacks. Moreover, the PSNR values of the final watermark-embedded images were all greater than 50 dB, indicating a good balance between imperceptibility and robustness.

Coexistence of hidden attractors in memristive chaotic system

Zhao,

Xu,

Wang

2024

In this paper, a charge controlled memristor model is introduced into the Sprott-A system equation to construct a new memristor chaotic system and the calculation of this new system satisfies the characteristics of no equilibrium points. The periodic function is added to the new constructed memristor chaotic system, and the coexistence of attractors in memristor chaotic system without equilibrium points is obtained by adjusting the control parameters.Through different analytical methods to explore the characteristics of the new system. Thedynamic behaviors of the system before and after the periodic transformation are compared and analyzed. In the end, DSP simulation is used to verify the feasibility of the theoretical model. The coexistence of attractors in memristor chaotic systems can improve the flexibility and security of chaotic encryption systems. Further research on this kind of phenomena can meet the needs of higher encryption.