Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327973
Type: Artigo
Title: Linear Models For The Self-shrinking Generator Based On Ca
Author: Cardell
Sara D.; Fuster-Sabater
Amparo
Abstract: The 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.
Subject: Self-shrinking Generator
Self-shrunken Sequence
Cellular Automata
Rule 102
Cryptography
Editor: Old City Publishing Inc
Philadelphia
Citation: Journal Of Cellular Automata. Old City Publishing Inc, v. 11, p. 195 - 211, 2016.
Rights: fechado
Address: http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-11-number-2-3-2016/jca-11-2-3-p-195-211/
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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