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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Phillip Rogaway | en_US |
dc.date.accessioned | 2018-09-11T08:55:51Z | - |
dc.date.available | 2018-09-11T08:55:51Z | - |
dc.date.issued | 2006-12-01 | en_US |
dc.identifier.issn | 16113349 | en_US |
dc.identifier.issn | 03029743 | en_US |
dc.identifier.other | 2-s2.0-84887264252 | en_US |
dc.identifier.other | 10.1007/11958239-14 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84887264252&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/61601 | - |
dc.description.abstract | There is a rarely mentioned foundational problem involving collision-resistant hash-functions: common constructions are keyless, but formal definitions are keyed. The discrepancy stems from the fact that a function H: {0,1}*→ {0, 1}nalways admits an efficient collision-finding algorithm, it's just that us human beings might be unable to write the program down. We explain a simple way to sidestep this difficulty that avoids having to key our hash functions. The idea is to state theorems in a way that prescribes an explicitly-given reduction, normally a black-box one. We illustrate this approach using well-known examples involving digital signatures, pseudorandom functions, and the Merkle-Damgård construction. © Springer-Verlag Berlin Heidelberg 2006. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Mathematics | en_US |
dc.title | Formalizing human ignorance collision-resistant hashing without the keys | en_US |
dc.type | Book Series | en_US |
article.title.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
article.volume | 4341 LNCS | en_US |
article.stream.affiliations | University of California, Davis | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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