Computer Generated HologramBased Image Cryptosystem with Multiple Chaotic Systems Based on computer generated hologram (CGH) and multiple chaotic systems, a novel image encryption scheme is presented, in which shuffling the positions and changing the values of image pixels are combined to confuse the relationship between the ciphertext and the original image. In the encryption process, the complex distribution is permuted by use of the designed scrambling algorithm which is based on Chenxe2x80x99s chaotic system and logistic maps firstly. Subsequently, the Burchxe2x80x99s coding method is used to fabricate the CGH as the encrypted image. Finally, the pixel values of the encrypted CGH are changed by sine map to withstand statistical analysis attacks. Simulation results demonstrate that the proposed method has high security level and certain robustness against statistical analysis attacks, data loss and noise disturbance.

An Efficient Cryptosystem based on the LogisticChebyshev Map We utilise the LogisticChebyshev map as a cascade discretetime chaotic system to design a new form of a cryptosystem. Based on the LogisticChebyshev map, we present a novel method for constructing substitution boxes or Sboxes. The performance of the proposed Sbox scheme is investigated. Our results shows that the constructed Sbox has significant qualities for viable applications in security related domains. Additionally, we utilise a new pseudorandom number generator (PRNG) scheme for the purpose of generating keystreams for further encryption. We utilise this technique to demonstrate how a PRNG based chaotic system can be utilsied for image encryption. Our simulation results and analysis show that the proposed scheme has efficient performance for cryptographic based image processing applications.