| Image is a type of information dissemination carrier,and its confidentiality and integrity during transmission have gotten a lot of attention.Image encryption technology has become a research hotspot as a means of image security protection.Chaotic systems’randomness,ergodicity,and sensitivity to beginning values are all consistent with encryption’s key randomness requirements.As a result,image encryption methods based on chaotic systems have proven to be excellent in protecting images.This dissertation creates a chaotic system with strong performance based on the features of existing chaotic systems and expands the image encryption technique combined with the nonlinear properties of memristor;The images undergo concealment processing to meet the goal of image security protection using the traditional Shannon cryptosystem:scrambling-diffusion.The following are the key aspects of this dissertation’s research:(1)An image encryption algorithm based on memristor neural network and improved Logistic map is proposedThe algorithm generates a new one-dimensional Logistic chaotic map with the exponential functione~xbased on the updated weight of the chaotic neural network,then processes the chaotic random sequence through a non-linear function to adjust its range to meet the requirements in various encryption stages.The replacement array matching to the chaotic sequence is then obtained using the sorting algorithm,and two scrambling operations on the plaintext’s pixel and bit levels are completed.Finally,to finish the encryption,two independent sets of chaotic sequences are employed to perform two diffusion operations in opposite directions to the intermediate ciphertext.The algorithm has strong security and can withstand common attacks,according to security studies.(2)Chaotic image encryption algorithm based on dynamic positioning and two-way synchronization scrambling is proposedThe algorithm improves the Tent map by inserting an exponential function,produces a dynamic chaotic map grid,and passes initial sensitivity analysis,autocorrelation analysis,Lyapunov exponent,sample entropy,and NIST tests that confirm the chaotic system’s randomness;To complete the quick global scrambling,the algorithm employs the output value of the memristor neural network as the key update,as well as the relevant parameters of the rank index scrambled row and column pair,and the positioning element to sort the chaotic random matrix in two directions.Carry out the pixel bit mutation while simultaneously completing the image scrambling and diffusion operation by examining the properties of the pixel bit.Use the key sequence to finish the image diffusion operation by rows and columns,ensuring that each pixel value’s effect is dispersed across the full image and the algorithm’s security.The algorithm’s key space has been substantially enhanced,and it can effectively withstand an exhaustive attack,according to security study.(3)Chaotic image encryption algorithm based on secure identity authentication is proposedThe algorithm scrambles the image at the pixel level to destroy the correlation between adjacent pixels,then scrambles the image at the bit level to increase the impact of the plaintext image pixel value on the ciphertext,and finally uses diffusion operations to complete the final image encryption.To complete the safe identity authentication from the cluster node to the base station,this dissertation uses a public key cryptosystem to get a digest of information by generating a hash function.Experiments have shown that the suggested image encryption algorithm is capable of withstanding common attacks.It is a more secure algorithm of encrypting and decrypting node image data,which improves the dependability of delivering data between nodes,lowering node energy consumption and increasing Network lifespan.Figure[54]Table[26]Reference[88]... |
