Аннотация:The present work proposes the implementation of Wavelet based Chaotic Neural Network (WCNN) for image encryption. The neural network used is chaotic in nature i.e. its weights and bias will be determined by chaotic sequence with the help of 1-D logistic map. Private key system is achieved with the help of initial conditions. WCNN provides two level security along with the data compression to be transmitted. The image is first encrypted and then decrypted using WCNN. Encryption is carried out using only approximate coefficients, which reduces the transmitted data to a large extent. CNN is also applied for comparison purpose. The proposed methodology is applied on standard and real images. Further the behavior of system is verified with different key values at the receiver end and the proposed encryption scheme is proved to be key sensitive.
