New block cipher DONUT using pairwise perfect decorrelation

Dong Hyeon Cheon; Sangjin Lee; Jong In Lim; Sung Jae Lee

New block cipher DONUT using pairwise perfect decorrelation

Dong Hyeon Cheon, Sangjin Lee, Jong In Lim, Sung Jae Lee

Graduate School of Information Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Vaudenay[1] proposed a new way of protecting block ciphers against classes of attacks, which was based on the notion of decorrelation. He also suggested two block cipher families COCONUT and PEANUT. Wagner[2] suggested a new differential-style attack called boomerang attack and cryptanalysed COCONUT’98. In this paper we will suggest a new block cipher called DONUT which is made by two pairwise perfect decorrelation modules. DONUT is secure against boomerang attack.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	250-258
Number of pages	9
Volume	1977
ISBN (Print)	3540414525, 9783540414520
Publication status	Published - 2000
Event	1st International Conference in Cryptology in India, INDOCRYPT 2000 - Calcutta, India Duration: 2000 Dec 10 → 2000 Dec 13

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1977
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	1st International Conference in Cryptology in India, INDOCRYPT 2000
Country	India
City	Calcutta
Period	00/12/10 → 00/12/13

Keywords

Block cipher
Decorrelation
Differential Cryptanalysis(DC)
Linear Cryptanalysis(LC)

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

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Cite this

Cheon, D. H., Lee, S., Lim, J. I., & Lee, S. J. (2000). New block cipher DONUT using pairwise perfect decorrelation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1977, pp. 250-258). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1977). Springer Verlag.

New block cipher DONUT using pairwise perfect decorrelation. / Cheon, Dong Hyeon; Lee, Sangjin ; Lim, Jong In; Lee, Sung Jae.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1977 Springer Verlag, 2000. p. 250-258 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1977).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheon, DH, Lee, S , Lim, JI & Lee, SJ 2000, New block cipher DONUT using pairwise perfect decorrelation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1977, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1977, Springer Verlag, pp. 250-258, 1st International Conference in Cryptology in India, INDOCRYPT 2000, Calcutta, India, 00/12/10.

Cheon DH, Lee S , Lim JI, Lee SJ. New block cipher DONUT using pairwise perfect decorrelation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1977. Springer Verlag. 2000. p. 250-258. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Cheon, Dong Hyeon ; Lee, Sangjin ; Lim, Jong In ; Lee, Sung Jae. / New block cipher DONUT using pairwise perfect decorrelation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1977 Springer Verlag, 2000. pp. 250-258 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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