Secure Hash Algorithm based on Efficient Chaotic Neural Network
Secure Hash Algorithm based on Efficient Chaotic Neural Network
Secure Hash Algorithm (SHA) is the most popularstandard of Hash functions. Several security protocols useSHA to provide message integrity, authentication and digitalsignature. Nowadays, a new technology based on Chaotic NeuralNetwork is used to design Hash functions due to the followingimportant properties of Neural Networks: non-linearity,compression, confusion and diffusion. This paper presents anenhancement of our previously proposed Hash function basedon a Chaotic Neural Network (in term of complexity)[1]. Thetheoretical analysis and the obtained experimental performancesdemonstrate the efficiency of the implemented structure in termsof strong Collision Resistance and High Message Sensitivitycompared with SHA-2.
Chaotic Neural Network, [SPI] Engineering Sciences [physics], SHA, Chaotic Hash function, Chaotic generator
Chaotic Neural Network, [SPI] Engineering Sciences [physics], SHA, Chaotic Hash function, Chaotic generator
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