A space- and time-efficient Implementation of the Merkle Tree Traversal Algorithm
| dc.accessRights | Anonymous | |
| dc.audience | Praxis | |
| dc.contributor.author | Knecht, Markus | |
| dc.contributor.author | Nicola, Carlo U. | |
| dc.date.accessioned | 2016-04-20T12:09:59Z | |
| dc.date.available | 2016-04-20T12:09:59Z | |
| dc.date.issued | 2013-12 | |
| dc.description.abstract | We have developed an algorithm for the Merkle tree traversal problem which combines the efficient spacetime trade-off from the fractal Merkle-trees and the space efficiency from the improved log space-time Merkle-trees traversal. We further programmed a low storage space and a low time overhead version of the algorithm in Java and measured its performance with respect to two different implementations. | |
| dc.identifier.issn | 2296-4169 | |
| dc.identifier.issn | 1662-2014 | |
| dc.identifier.uri | http://hdl.handle.net/11654/17789 | |
| dc.identifier.uri | https://doi.org/10.26041/fhnw-562 | |
| dc.language.iso | en | en_US |
| dc.publisher | Hochschule für Technik FHNW | |
| dc.relation.ispartof | IMVS Fokus Report | en_US |
| dc.spatial | Windisch | |
| dc.subject | new Merkle tree traversal algorithm | |
| dc.subject | performance evaluation | |
| dc.subject.ddc | 004 - Computer Wissenschaften, Internet | de |
| dc.title | A space- and time-efficient Implementation of the Merkle Tree Traversal Algorithm | |
| dc.type | 01B - Beitrag in Magazin oder Zeitung | |
| dc.volume | 7 | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | Yes | |
| fhnw.IsStudentsWork | no | |
| fhnw.PublishedSwitzerland | Yes | |
| fhnw.ReviewType | Lectoring (ex ante) | |
| fhnw.affiliation.hochschule | Hochschule für Informatik FHNW | de_CH |
| fhnw.affiliation.institut | Institut für Mobile und Verteilte Systeme | de_CH |
| fhnw.pagination | 35-39 | |
| fhnw.publicationOnline | Ja | |
| fhnw.publicationState | Published | |
| relation.isAuthorOfPublication | 9b425249-9a7f-49e8-a0e5-13432fe634cc | |
| relation.isAuthorOfPublication.latestForDiscovery | 9b425249-9a7f-49e8-a0e5-13432fe634cc |