Hash Function based on Efficient Chaotic Neural Network

International audienceThis paper presents an efficient algorithm for constructinga secure Hash function based on Chaotic Neural Networkstructure. The proposed Hash function includes two mainoperations: Generation of Neural Network parameters using fastand efficient Chaotic Generator and Iteration of the messagethrough the Chaotic Neural Network. Our theoretical analysisand experimental simulations showed that the implementedHash function has good statistical properties, strong CollisionResistance and High Message Sensitivity