Proposed Method for Multimedia Data Security Using Cyclic Elliptic Curve, Chaotic System, and Authentication Using Neural Network

As multimedia applications are used increasingly, security becomes an important issue of security of images. The combination of chaotic theory and cryptography forms an important field of information security. In the past decade, chaos based image encryption is given much attention in the research of information security and a lot of image encryption algorithms based on chaotic maps have been proposed. But, most of them delay the system performance, security, and suffer from the small key space problem. This paper introduces an efficient symmetric encryption scheme based on a cyclic elliptic curve and chaotic system that can overcome these disadvantages. The cipher encrypts 256-bit of plain image to 256-bit of cipher image within eight 32-bit registers. The scheme generates pseudorandom bit sequences for round keys based on a piecewise nonlinear chaotic map. Then, the generated sequences are mixed with the key sequences derived from the cyclic elliptic curve points. The proposed algorithm has good encryption effect, large key space, high sensitivity to small change in secret keys and fast compared to other competitive algorithms.