Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography

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...

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Vydáno v:	Mathematical and computer modelling Ročník 46; číslo 1; s. 174 - 179
Hlavní autoři:	Laskari, E.C., Meletiou, G.C., Stamatiou, Y.C., Tasoulis, D.K., Vrahatis, M.N.
Médium:	Journal Article Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.07.2007 Elsevier Science
Témata:	Algebra Algebraic geometry Artificial neural networks Boolean functions Discrete logarithm Elliptic curves Exact sciences and technology Mathematical analysis Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) Number theory Numerical analysis. Scientific computation Partial differential equations Sciences and techniques of general use Boolean functions Elliptic curves Discrete logarithm Artificial neural networks Polynomial Neural computation Boolean function Elliptic curve Neural network Partial differential equation Polynomial time Elliptic equation Scientific computation Applied mathematics Cryptography Mathematical model Computer aided analysis
ISSN:	0895-7177, 1872-9479
On-line přístup:	Získat plný text
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