dc.creatorCardell
dc.creatorSara D.; Fuster-Sabater
dc.creatorAmparo
dc.date2016
dc.date2017-11-13T13:22:47Z
dc.date2017-11-13T13:22:47Z
dc.date.accessioned2018-03-29T05:55:33Z
dc.date.available2018-03-29T05:55:33Z
dc.identifierJournal Of Cellular Automata. Old City Publishing Inc, v. 11, p. 195 - 211, 2016.
dc.identifier1557-5969
dc.identifier1557-5977
dc.identifierWOS:000385016200004
dc.identifierhttp://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-11-number-2-3-2016/jca-11-2-3-p-195-211/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/327973
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1364998
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe self-shrinking generator is a non-linear cryptographic sequence generator designed to be used in stream cipher applications. In this work, its output sequence, the self-shrunken sequence, is computed as one of the output sequences of a linear model based on Cellular Automata. Such Automata are uniform, null, one-dimensional and use rules 102 or 60 for their computations. The linearity of these structures can be advantageous exploited to recover the complete self-shrunken sequence from a number of intercepted bits. Indeed, a Cellular Automata-based reconstruction procedure that is deterministic, does not need the knowledge of the LFSR characteristic polynomial and is performed exclusively by means of XOR operations has been proposed.
dc.description11
dc.description195
dc.description211
dc.descriptionFAPESP [2015/07246-0]
dc.description[S2013/ICE-3095-CIBERDINE-CM]
dc.description[TIN2014-55325-C2-1-R]
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageEnglish
dc.publisherOld City Publishing Inc
dc.publisherPhiladelphia
dc.relationJournal of Cellular Automata
dc.rightsfechado
dc.sourceWOS
dc.subjectSelf-shrinking Generator
dc.subjectSelf-shrunken Sequence
dc.subjectCellular Automata
dc.subjectRule 102
dc.subjectCryptography
dc.titleLinear Models For The Self-shrinking Generator Based On Ca
dc.typeArtículos de revistas


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