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Dublin City University

Developing an Automatic Generation Tool for Cryptographic Pairing Functions

Abstract

dc:description.abstract

Pairing-Based Cryptography is receiving steadily more attention from industry, mainly because of the increasing interest in Identity-Based protocols. Although there are plenty of applications, efficiently implementing the pairing functions is often difficult as it requires more knowledge than previous cryptographic primitives. The author presents a tool for automatically generating optimized code for the pairing functions which can be used in the construction of such cryptographic protocols. In the following pages I present my work done on the construction of pairing function code, its optimizations and how their construction can be automated to ease the work of the protocol implementer. Based on the user requirements and the security level, the created cryptographic compiler chooses and constructs the appropriate elliptic curve. It identifies the supported pairing function: the Tate, ate, R-ate or pairing lattice/optimal pairing, and its optimized parameters. Using artificial intelligence algorithms, it generates optimized code for the final exponentiation and for hashing a point to the required group using the parametrisation of the chosen family of curves. Support for several multi-precision libraries has been incorporated: Magma, MIRACL and RELIC are already included, but more are possible.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
Dublin City University
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dominguez Perez, Luis Julian

Subjects

dc:subject × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
Dublin City University
Base URL
doras.dcu.ie/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Dominguez Perez, Luis Julian. Developing an Automatic Generation Tool for Cryptographic Pairing Functions. doctoral thesis, Dublin City University, 2011.