| 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 |