A novel approach of cryptanalysis using SOM

Machine learning techniques like Self Organizing Maps has been explored for the first time for efficient key clustering in cryptanalysis. In the first phase, transformations have been employed on the encrypted messages to find the dominance in the features and n, in the second phase, Independent Component Analysis -ICA to find important features among the transformed features and finally SOM has been employed for clustering.