A Novel Chaotic Signal Based on LSTM-KAN for Image Encryption
Fangbo Hong, Qian Wang, Ying Zhao, Ming Zhang · International Journal of Bifurcation and Chaos · 2025
Chaotic system plays a momentous role in the field of image encryption. An encryption algorithm based on Long Short-term Memory optimized by Kolmogorov–Arnold Networks (LSTM-KAN) for generating a two-dimensions new chaotic signal is proposed in this paper. The chaotic behavior of the signal is demonstrated through a series of analytical methods. The advantage of the new chaotic signal is that it has no formula expression. Following this, a new image encryption algorithm is subsequently proposed. The algorithm divides the image into high and low bit planes, scrambles them using Hilbert–Zigzag. After performing a confusion operation with the chaotic signal, it selectively shifts the 8-bit binary pixels and subsequently performs global diffusion. The simulation and analysis results show that our image encryption algorithm can resist various attacks and offers higher security. Especially, it performs excellently against differential attack.