Review of a New Distinguishing Attack Using Block Cipher with a Neural Network

This paper describes a new distinguishing type attack to identify block ciphers, which grounded in a neural network, by means of a linguistic approach and an information retrieval approach, from patterns which is found on a ciphertexts set collection. The ideas were performed on a set of ciphertexts, which were encrypted by the finalist algorithms of AES contest: MARS, RC6, Rijndael, Serpent and Twofish; each one has a unique 128-bit key. This experiment shows the processes of clustering and classification were successful, which allows the formation of well-formed and well-defined groups, here ciphertexts encrypted by the same algorithm stayed close to each other.