A Light Weight Method for Image Encryption Based on Chaos and Hopefield Neural Networks
Classical cryptographic algorithms has been widely studied by both scientists and hackers. Consequently, scientists are now trying to explore and find new algorithms to protect information against unauthorized access, security information and data becomes an important skills. Due to the increasing use of images in embedded systems and many domains such as industrial and medical.In this paper we propose a light weight method to encrypt and decrypt image using a combination between chaotic attractor of Henon and hopefield neural networks. Simulations show that the proposed encryption method is effective and has a high speed and level security.