Periodical

Exploring confusion in product ciphers through regression analysis

Bibliographic Details
Title: Exploring confusion in product ciphers through regression analysis
Authors: Katos, Vasilios1 vasilios.katos@port.ac.uk, Doherty, Bernard2
Source: Information Sciences. Apr2007, Vol. 177 Issue 8, p1789-1795. 7p.
Subject Terms: *Data encryption, Regression analysis data processing, Ciphers, Computer simulation
Abstract: Abstract: This paper investigates the modelling of confusion in product encryption by statistical means, to support understanding of the avalanche effect of the continuous application of an encryption step or round. To facilitate the modelling, a metric for confusion is proposed and its appropriateness and properties verified against broadly accepted theoretical assumptions. The regression analysis showed that confusion can be approximated by well-known econometrics functions. [Copyright &y& Elsevier]
Copyright of Information Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Business Source Index
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  – Url: https://www.doi.org/10.1016/j.ins.2006.09.017?
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  Data: Exploring confusion in product ciphers through regression analysis
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  Data: <searchLink fieldCode="AR" term="%22Katos%2C+Vasilios%22">Katos, Vasilios</searchLink><relatesTo>1</relatesTo><i> vasilios.katos@port.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Doherty%2C+Bernard%22">Doherty, Bernard</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Information+Sciences%22">Information Sciences</searchLink>. Apr2007, Vol. 177 Issue 8, p1789-1795. 7p.
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  Data: *<searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis+data+processing%22">Regression analysis data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Ciphers%22">Ciphers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Abstract: This paper investigates the modelling of confusion in product encryption by statistical means, to support understanding of the avalanche effect of the continuous application of an encryption step or round. To facilitate the modelling, a metric for confusion is proposed and its appropriateness and properties verified against broadly accepted theoretical assumptions. The regression analysis showed that confusion can be approximated by well-known econometrics functions. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Information Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.ins.2006.09.017
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 7
        StartPage: 1789
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      – SubjectFull: Data encryption
        Type: general
      – SubjectFull: Regression analysis data processing
        Type: general
      – SubjectFull: Ciphers
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            NameFull: Katos, Vasilios
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              Text: Apr2007
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              Y: 2007
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              Value: 177
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