Neuro-Cryptanalysis of DES and Triple-DES

  • Authors:
  • Mohammed M. Alani

  • Affiliations:
  • Department of Computing, Middle-East College, Muscat, Sultanate of Oman

  • Venue:
  • ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
  • Year:
  • 2012

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Abstract

In this paper, we apply a new cryptanalytic attack on DES and Triple-DES. The implemented attack is a known-plaintext attack based on neural networks. In this attack we trained a neural network to retrieve plaintext from ciphertext without retrieving the key used in encryption. The attack was practically, and successfully, applied on DES and Triple-DES. This attack required an average of 211 plaintext-ciphertext pairs to perform cryptanalysis of DES in an average duration of 51 minutes. For the cryptanalysis of Triple-DES, an average of only 212 plaintext-ciphertext pairs was required in an average duration of 72 minutes. As compared to other attacks, this attack is an improvement in terms of number of known-plaintexts required, as well as the time required to perform the complete attack.