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Studying the performance of artificial neural networks on problems related to cryptography

机译:研究人工神经网络在与密码学有关的问题上的性能

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摘要

Cryptosystems rely on the assumption that a number of mathematical problems are computationally intractable, in the sense that they cannot be solved in polynomial time. Numerous approaches have been applied to address these problems. In this paper, we consider artificial neural networks and study their performance on approximation problems related to cryptography. (c) 2005 Elsevier Ltd. All rights reserved.
机译:从无法在多项式时间内解决的意义上讲,密码系统依赖于以下假设:许多数学问题在计算上都是难处理的。已经应用了许多方法来解决这些问题。在本文中,我们考虑了人工神经网络,并研究了它们在与密码学有关的近似问题上的性能。 (c)2005 Elsevier Ltd.保留所有权利。

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