QUT ePrints

Analysis of a measure of correlation between two binary strings of different lengths

Gustafson, Helen M., Simpson, Leonie R., & Golic, Jovan (2002) Analysis of a measure of correlation between two binary strings of different lengths. Australasian Journal of Combinatorics, 25, pp. 185-199.

Abstract

The joint probability between two binary strings of differenet lengths has been demonstrated as a suitable basis for a correlation attack on the shrinking generator when the decimation probability is 0.5. As an extension of this, further computer simulations have been conducted to determine whether the joint probability can be used as a basis for similar correlation attacks on irregularly clocked shift registers, where the deletions occur independently with a fixed probabilitydifferent from 0.5. These results show that as the decimation probability increases, the length of the known keystream required for the joint probability to be a useful measure of correlation must also be increased. Thus the joint probability is shown to be a suitable basis for such correlation attacks, provided a sufficient length of the keystream is known.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

349 since deposited on 20 Oct 2004
77 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 482
Item Type: Journal Article
Additional URLs:
ISSN: 1034-4942
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2002 University of Queensland
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher: This journal is available online - use link above.
Deposited On: 20 Oct 2004
Last Modified: 02 Feb 2012 19:44

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page