Abstract
A lot of improvements and optimizations for the hardware implementation of SubBytes of Rijndael, in detail inversion in have been reported. Instead of the Rijndael original , it is known that its isomorphic tower field has a more efficient inversion. For the towerings, several kinds of bases such as polynomial and normal bases can be used in mixture. Different from the meaning of this mixture of bases, this paper proposes another mixture that contributes to the reduction of the critical path delay of SubBytes. To the -inversion architecture, for example, the proposed mixture inputs and outputs elements represented with normal and polynomial bases, respectively.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 234-247 |
| Number of pages | 14 |
| Volume | 6225 LNCS |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 12th International Workshop on Cryptographic Hardware and Embedded Systems, CHES 2010 - Santa Barbara, CA, United States Duration: Aug 17 2010 → Aug 20 2010 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6225 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 12th International Workshop on Cryptographic Hardware and Embedded Systems, CHES 2010 |
|---|---|
| Country | United States |
| City | Santa Barbara, CA |
| Period | 8/17/10 → 8/20/10 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Mixed bases for efficient inversion in F((22)2) 2 and conversion matrices of subbytes of AES. / Nogami, Yasuyuki; Nekado, Kenta; Toyota, Tetsumi; Hongo, Naoto; Morikawa, Yoshitaka.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6225 LNCS 2010. p. 234-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6225 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mixed bases for efficient inversion in F((22)2) 2 and conversion matrices of subbytes of AES
AU - Nogami, Yasuyuki
AU - Nekado, Kenta
AU - Toyota, Tetsumi
AU - Hongo, Naoto
AU - Morikawa, Yoshitaka
PY - 2010
Y1 - 2010
N2 - A lot of improvements and optimizations for the hardware implementation of SubBytes of Rijndael, in detail inversion in have been reported. Instead of the Rijndael original , it is known that its isomorphic tower field has a more efficient inversion. For the towerings, several kinds of bases such as polynomial and normal bases can be used in mixture. Different from the meaning of this mixture of bases, this paper proposes another mixture that contributes to the reduction of the critical path delay of SubBytes. To the -inversion architecture, for example, the proposed mixture inputs and outputs elements represented with normal and polynomial bases, respectively.
AB - A lot of improvements and optimizations for the hardware implementation of SubBytes of Rijndael, in detail inversion in have been reported. Instead of the Rijndael original , it is known that its isomorphic tower field has a more efficient inversion. For the towerings, several kinds of bases such as polynomial and normal bases can be used in mixture. Different from the meaning of this mixture of bases, this paper proposes another mixture that contributes to the reduction of the critical path delay of SubBytes. To the -inversion architecture, for example, the proposed mixture inputs and outputs elements represented with normal and polynomial bases, respectively.
UR - http://www.scopus.com/inward/record.url?scp=78049333152&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049333152&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15031-9_16
DO - 10.1007/978-3-642-15031-9_16
M3 - Conference contribution
AN - SCOPUS:78049333152
SN - 3642150306
SN - 9783642150302
VL - 6225 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 234
EP - 247
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -