FPGA implementation of a GF(2m) tate pairing architecture

Maurice Keller; Tim Kerins; Francis Crowe; William Marnane

doi:10.1007/11802839_44

FPGA implementation of a GF(2^m) tate pairing architecture

Maurice Keller
, Tim Kerins
, Francis Crowe
, William Marnane

University College Cork

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

This paper presents a hardware implementation of a dual mode Tate pairing/elliptic curve processor over fields of characteristic 2. The architecture can be reconfigured for different underlying field sizes and hence can support different security levels. The processor also performs elliptic curve point scalar multiplication. The performance of the architecture implemented on an FPGA is evaluated for various security levels.

Original language	English
Title of host publication	Reconfigurable Computing
Subtitle of host publication	Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers
Publisher	Springer Verlag
Pages	358-369
Number of pages	12
ISBN (Print)	9783540367086
DOIs	https://doi.org/10.1007/11802839_44
Publication status	Published - 2006
Event	2nd International Workshop on Applied Reconfigurable Computing, ARC 2006 - Delft, United States Duration: 1 Mar 2006 → 3 Mar 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3985 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Applied Reconfigurable Computing, ARC 2006
Country/Territory	United States
City	Delft
Period	1/03/06 → 3/03/06

Access to Document

10.1007/11802839_44

Cite this

Keller, M., Kerins, T., Crowe, F., & Marnane, W. (2006). FPGA implementation of a GF(2^m) tate pairing architecture. In Reconfigurable Computing: Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers (pp. 358-369). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3985 LNCS). Springer Verlag. https://doi.org/10.1007/11802839_44

Keller, Maurice ; Kerins, Tim ; Crowe, Francis et al. / FPGA implementation of a GF(2^m) tate pairing architecture. Reconfigurable Computing: Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers. Springer Verlag, 2006. pp. 358-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Keller, M, Kerins, T, Crowe, F & Marnane, W 2006, FPGA implementation of a GF(2^m) tate pairing architecture. in Reconfigurable Computing: Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3985 LNCS, Springer Verlag, pp. 358-369, 2nd International Workshop on Applied Reconfigurable Computing, ARC 2006, Delft, United States, 1/03/06. https://doi.org/10.1007/11802839_44

FPGA implementation of a GF(2^m) tate pairing architecture. / Keller, Maurice; Kerins, Tim; Crowe, Francis et al.
Reconfigurable Computing: Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers. Springer Verlag, 2006. p. 358-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3985 LNCS).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

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Keller M, Kerins T, Crowe F, Marnane W. FPGA implementation of a GF(2^m) tate pairing architecture. In Reconfigurable Computing: Architectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers. Springer Verlag. 2006. p. 358-369. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11802839_44