Hash function generation based on neural networks and chaotic maps
Michal Turčaník · 2017
Security of today communication networks depends also on effective hash function. A cryptographic hash function is used to realize a transformation of input to a fixed-size value. This value is called the hash value. One way hash function could be generated also by an artificial neural network (ANN). Theoretical analysis of the possibility of using artificial neural network and chaotic maps for hashing is shown in this paper. The efficiency of the presented proposal was evaluated by special application. The analysis of presented proposal is realised with several testing sets.