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

✍ Scribed by E.C. Laskari; G.C. Meletiou; D.K. Tasoulis; M.N. Vrahatis

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
168 KB
Volume
7
Category
Article
ISSN
1468-1218

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✦ Synopsis

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.

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Cryptographic systems based on elliptic curves have been introduced as an alternative to conventional public key cryptosystems. The security of both kinds of cryptosystems relies on the hypothesis that the underlying mathematical problems are computationally intractable, in the sense that they canno