dc.contributor.author |
Rahman, A. K. M. Mahbubur |
|
dc.contributor.author |
Khan, Md. Bashir Uddin |
|
dc.contributor.author |
Bhuiyan, Md. Al-Amin |
|
dc.date.accessioned |
2012-11-08T04:48:38Z |
|
dc.date.accessioned |
2019-05-28T09:33:00Z |
|
dc.date.available |
2012-11-08T04:48:38Z |
|
dc.date.available |
2019-05-28T09:33:00Z |
|
dc.date.issued |
2007-01-01 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.11948/449 |
|
dc.description.abstract |
In this paper we present a novel method for obtaining fast software implementation of the Elliptic Curve Digital Signature Algorithm in the finite field GF(p) with an arbitrary prime modulus p of arbitrary length. The most important feature of the method is that it avoids bit-level operations which are slow on microprocessors and performs word-level operations which are significantly faster. The algorithms used in the implementation perform word-level operations, trading them off for bit-level operations and thus resulting in much higher speeds. We provide the timing results of our implementations on a 2.8 GHz Pentium 4 processor, supporting our claim that ECDSA is appropriate for constrained environments. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Genetic Algorithm, Fuzzy Logic, Mutation, Mating, Chromosome, Fitness evaluation function. |
en_US |
dc.title |
IMPLICATION OF FUZZY LOGIC IN GA FOR SOLVING MATHEMATICAL PROBLEMS |
en_US |
dc.type |
Article |
en_US |