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

Vina M. Lomte, Archana D. Shinde

Abstract: 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.

Keywords: Distinguishing attack, neural networks, cryptography, block ciphers

How to Cite?: Vina M. Lomte, Archana D. Shinde, "Review of a New Distinguishing Attack Using Block Cipher with a Neural Network", Volume 3 Issue 8, August 2014, International Journal of Science and Research (IJSR), Pages: 733-736, https://www.ijsr.net/getabstract.php?paperid=2015471, DOI: https://dx.doi.org/10.21275/2015471

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