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dc.contributor.authorChristianson, B.
dc.contributor.authorWheeler, D.
dc.date.accessioned2010-03-17T15:40:27Z
dc.date.available2010-03-17T15:40:27Z
dc.date.issued2002
dc.identifier.citationChristianson , B & Wheeler , D 2002 , ' Merkle Puzzles Revisited — Finding Matching Elements between Lists ' , Lecture Notes in Computer Science (LNCS) , vol. 2467 , pp. 87-94 . https://doi.org/10.1007/3-540-45807-7_13
dc.identifier.issn0302-9743
dc.identifier.otherdspace: 2299/4353
dc.identifier.otherORCID: /0000-0002-3777-7476/work/76728349
dc.identifier.urihttp://hdl.handle.net/2299/4353
dc.description“The original publication is available at www.springerlink.com”. Copyright Springer.
dc.description.abstractConsider the following problem. A and B each have a N-element set of bit-strings. They wish to find all collisions, in other words to find the common strings of their sets or to establish that there are none. How much data must A and B exchange to do this? Problems of this type arise in the context of Merkle puzzles, for example where A and B propose to use the collision between two randomly constructed lists to construct a cryptographic key. Here we give a protocol for finding all the collisions. Provided the number of collisions is small relative to N/ log2 N the protocol requires on the order of log2 N messages and the total amount of data which A and B need exchange is about 4.5N bits. The collision set can also be determined in three messages containing a total of at most 9N bits provided N < 21023.en
dc.format.extent358417
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (LNCS)
dc.titleMerkle Puzzles Revisited — Finding Matching Elements between Listsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1007/3-540-45807-7_13
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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