Extracting randomness from multiple independent sources
| dc.citation.epage | 2227 | en_US |
| dc.citation.issue | 6 | en_US |
| dc.citation.spage | 2224 | en_US |
| dc.citation.volume | 51 | en_US |
| dc.citation.woscount | 7 | |
| dc.contributor.author | Lee, CJ | en_US |
| dc.contributor.author | Lu, CJ | en_US |
| dc.contributor.author | Tsai, SC | en_US |
| dc.contributor.author | Tzeng, WG | en_US |
| dc.contributor.department | 資訊科學與工程研究所 | zh_TW |
| dc.contributor.department | Institute of Computer Science and Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:19:03Z | |
| dc.date.available | 2014-12-08T15:19:03Z | |
| dc.date.issued | 2005-06-01 | en_US |
| dc.description.abstract | We study the problem of deterministically extracting almost perfect random bits from multiple weakly random sources that are mutually independent. With two independent sources, we have an explicit extractor which can extract a number of random bits that matches them best construction currently known, via the generalized leftover hash lemma. We also extend our construction to extract randomness from more independent sources. One nice feature is that the extractor still works even with all but one source exposed. Finally, we apply our extractor for a cryptographic task in which a group of parties wants to agree on a secret key for group communication over an insecure channel, without using ideal local randomness. | en_US |
| dc.identifier.doi | 10.1109/TIT.2005.847746 | en_US |
| dc.identifier.issn | 0018-9448 | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON INFORMATION THEORY | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/TIT.2005.847746 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/13676 | |
| dc.identifier.wosnumber | WOS:000229451600025 | |
| dc.language.iso | en_US | en_US |
| dc.subject | deterministic extractor | en_US |
| dc.subject | two-sources extractor | en_US |
| dc.subject | multisources-extractor | en_US |
| dc.subject | leftover hash lemma | en_US |
| dc.title | Extracting randomness from multiple independent sources | en_US |
| dc.type | Article | en_US |