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Extracting randomness from multiple independent sources

dc.citation.epage2227en_US
dc.citation.issue6en_US
dc.citation.spage2224en_US
dc.citation.volume51en_US
dc.citation.woscount7
dc.contributor.authorLee, CJen_US
dc.contributor.authorLu, CJen_US
dc.contributor.authorTsai, SCen_US
dc.contributor.authorTzeng, WGen_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.date.accessioned2014-12-08T15:19:03Z
dc.date.available2014-12-08T15:19:03Z
dc.date.issued2005-06-01en_US
dc.description.abstractWe 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.doi10.1109/TIT.2005.847746en_US
dc.identifier.issn0018-9448en_US
dc.identifier.journalIEEE TRANSACTIONS ON INFORMATION THEORYen_US
dc.identifier.urihttp://dx.doi.org/10.1109/TIT.2005.847746en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/13676
dc.identifier.wosnumberWOS:000229451600025
dc.language.isoen_USen_US
dc.subjectdeterministic extractoren_US
dc.subjecttwo-sources extractoren_US
dc.subjectmultisources-extractoren_US
dc.subjectleftover hash lemmaen_US
dc.titleExtracting randomness from multiple independent sourcesen_US
dc.typeArticleen_US

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