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S-box design based on optimize LFT parameter selection: a practical approach in recommendation system domain

  • Saira Beg
  • , Naveed Ahmad
  • , Adeel Anjum
  • , Mansoor Ahmad
  • , Abid Khan
  • , Faisal Baig
  • , Ahmed Khan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The strength of cryptography encryption is strongly depended upon the substitution box (S-box), hence highly non-linear S-box is appreciated in cryptography. In this work, we proposed a scheme to select the optimized values for control parameters (a, b, c, d) of linear fractional transform (LFT) to achieve an S-box with non-linearity of 112. For dynamic parameter values, we used location of chaotic sequences. The proposed s-box tested on different criteria such as non-linearity method (NL), probability methods (linear approximation (LP), differential approximation (DP), strictly avalanche criteria (SAC) and bit independence criteria (BIC). Our result shows that proposed s-box achieves better or equal to cryptographic strength as compared with state-of-the-art techniques. Moreover, we tested the proposed s-box based encryption method in recommendation system scenario with the idea of text-to-image conversion. The statistical analysis of this image encryption shows the bright prospects of the proposed method.

Original languageEnglish
Pages (from-to)11667-11684
Number of pages18
JournalMultimedia Tools and Applications
Volume79
Issue number17-18
DOIs
StatePublished - 1 May 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Chaotic theory
  • Cryptography
  • Galois field
  • NIST standard
  • Projective linear group (PGL)
  • Recommendation system
  • S-box
  • Text-2-image conversion

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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