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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Neuro-Cryptanalysis of DES and Triple-DES
verfasst von : Mohammed M. Alani
Erschienen in: Neural Information Processing
Verlag: Springer Berlin Heidelberg
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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 2
11
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 2
12
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.