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dc.contributor.authorShafarenko, A.
dc.date.accessioned2012-04-04T10:00:43Z
dc.date.available2012-04-04T10:00:43Z
dc.date.issued2011
dc.identifier.citationShafarenko , A 2011 , Gearing up : How to eat your cryptocake and still have it (transcript of discussion) . in Lecture Notes in Computer Science . vol. 7114 , Springer Nature , pp. 260-270 , 19th International Security Protocols Workshop , Cambridge , United Kingdom , 28/03/11 . https://doi.org/10.1007/978-3-642-25867-1_25
dc.identifier.citationconference
dc.identifier.urihttp://hdl.handle.net/2299/8197
dc.description.abstractThis talk has to do with big, or rather huge numbers of bits, and how it affects security. I'm going to start with the observation that shared keys are not always small. Very long keys can be shared using the so-called beacon method, which is well-known in various shapes and forms. The principle is always the same, you have a high rate source of random data, by random I mean as random as you can get. This is the single vulnerability point, the source of data, if you compromise it you compromise the whole system, but you can secure that physically, just don't let Moriarty come anywhere near it, that's all you need. The high rate data source creates and broadcasts an enormous amount of data, exabytes. Then there are customers of the system, Alice and Bob, maybe George as well, and Charlie. The method is not sensitive to how many customers there are.en
dc.format.extent11
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofLecture Notes in Computer Science
dc.titleGearing up : How to eat your cryptocake and still have it (transcript of discussion)en
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84855795350&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1007/978-3-642-25867-1_25
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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