Improved rijndael-like S-box and its transform domain analysis

Seok Yong Jin, Jong Min Back, Hong Yeop Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a simple scheme which produces a new S-box from a given S-box. We use the well-known conversion technique between the polynomial functions over double struck F2n and the boolean functions from double struck F 2n to double struck F 2. We have applied the scheme to Rijndael S-box and obtained 29 new S-boxes, of which only one is a bijection with better algebraic expression than the original Rijndael S-box and has the same spectral properties as the original Rijndael S-box. All others turned out to be non-bijective, and have different spectral properties, and hence, they all are inequivalent to the original as boolean functions.

Original languageEnglish
Title of host publicationSequences and Their Applications, SETA 2006 - 4th International Conference, Proceedings
PublisherSpringer Verlag
Pages153-167
Number of pages15
ISBN (Print)3540445234, 9783540445234
Publication statusPublished - 2006 Jan 1
Event4th International Conference on Sequences and Their Applications, SETA 2006 - Beijing, China
Duration: 2006 Sep 242006 Sep 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4086 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Sequences and Their Applications, SETA 2006
CountryChina
CityBeijing
Period06/9/2406/9/28

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jin, S. Y., Back, J. M., & Song, H. Y. (2006). Improved rijndael-like S-box and its transform domain analysis. In Sequences and Their Applications, SETA 2006 - 4th International Conference, Proceedings (pp. 153-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4086 LNCS). Springer Verlag.