Memristor-coupled Neural Network with Triple Heterogeneous Neurons and Its Application in Image Encryption
This study explores the dynamical behavior of a ring-shaped neural network composed of three types of heterogeneous neurons and its application in the field of image encryption.By simulating the coupling channel between two neurons in the network using a memristor,the research explores the network's nonlinear dynamic characteristics under various memristor coupling strengths.It was found that at certain coupling strengths,the network exhibits a coexistence of periodic and chaotic discharge behaviors,revealing its complex and rich dynamic features.A novel image encryption algorithm is developed based on these findings.This algorithm combines DNA encoding and RSA encryption techniques.DNA encoding is chosen because it effectively enhances the randomness and unpredictability of the encrypted information,while the RSA encryption technique is used due to its reliance on the difficulty of large prime number factorization,providing additional security for the encryption process.This algorithm integrates the advantages of two techniques,significantly enhancing the security and randomness of the encryption process,while also demonstrating the tremendous potential of high-dimensional neural networks in improving the security of image encryption technology.
NETL
NSTL
万方数据
