A Probabilistic Baby-step Giant-step Algorithm
| dc.contributor.author | Kushwaha, Prabhat | en_US |
| dc.contributor.author | MAHALANOBIS, AYAN | en_US |
| dc.contributor.department | Dept. of Mathematics | en_US |
| dc.coverage.spatial | - | en_US |
| dc.date.accessioned | 2019-07-01T05:37:43Z | |
| dc.date.available | 2019-07-01T05:37:43Z | |
| dc.date.issued | 2017-07 | en_US |
| dc.description.abstract | In this paper, a new algorithm to solve the discrete logarithm problem is presented which is similar to the usual baby-step giant-step algorithm. Our algorithm exploits the order of the discrete logarithm in the multiplicative group of a finite field. Using randomization with parallelized collision search, our algorithm indicates some weakness in NIST curves over prime fields which are considered to be the most conservative and safest curves among all NIST curves. | en_US |
| dc.identifier.citation | Proceedings of the 14th International Joint Conference on e-Business and Telecommunications, 6: SECRYPT, 401-406. | en_US |
| dc.identifier.doi | https://doi.org/10.5220/0006396304010406 | en_US |
| dc.identifier.isbn | 9789897582592 | en_US |
| dc.identifier.issn | - | en_US |
| dc.identifier.sourcetitle | Proceedings of the 14th International Joint Conference on e-Business and Telecommunications | en_US |
| dc.identifier.uri | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3355 | |
| dc.identifier.uri | https://www.scitepress.org/Link.aspx?doi=10.5220/0006396304010406 | |
| dc.language.iso | en | en_US |
| dc.publication.originofpublisher | Foreign | en_US |
| dc.publisher | Science and Technology Publications | en_US |
| dc.subject | Discrete Logarithm Problem | en_US |
| dc.subject | Baby-step | en_US |
| dc.subject | Giant-step Algorithm | en_US |
| dc.subject | NIST Curves | en_US |
| dc.subject | Over Prime Fields | en_US |
| dc.subject | Parallelized Collision Search | en_US |
| dc.subject | 2017 | en_US |
| dc.title | A Probabilistic Baby-step Giant-step Algorithm | en_US |
| dc.type | Conference Papers | en_US |