Abstract:
In this paper the security of neural network-based symmetric ciphers (M. Arvandi et al., 2006) is analyzed. The vulnerability of such ciphers against chosen plaintext att...Show MoreMetadata
Abstract:
In this paper the security of neural network-based symmetric ciphers (M. Arvandi et al., 2006) is analyzed. The vulnerability of such ciphers against chosen plaintext attacks is studied and a possible attack is mathematically presented.
Published in: 2007 International Joint Conference on Neural Networks
Date of Conference: 12-17 August 2007
Date Added to IEEE Xplore: 29 October 2007
ISBN Information:
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