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dc.contributor.authorShantz, Michael
dc.date.accessioned2015-05-20 19:32:17 (GMT)
dc.date.available2015-05-20 19:32:17 (GMT)
dc.date.issued2015-05-20
dc.date.submitted2015
dc.identifier.urihttp://hdl.handle.net/10012/9372
dc.description.abstractThe security of pairing-based cryptography can be reduced to the difficulty of the discrete logarithm problem (DLP) in finite fields of medium characteristic. The number field sieve is the best known algorithm for this problem. We look at a recent improvement to the number field sieve (NFS) by Joux and Pierrot that applies to finite field DLPs arising from elliptic curves used in pairing-based cryptography. We give specific parameter values for use with Miyaji-Nakabayashi-Takano curves offering 80-bits of security, and Barreto-Naehrig (BN) curves offering 128-bits of security. The running times of the corresponding NFS implementations are compared to the running times arising from prior versions of the NFS, showing that for BN curves the Joux-Pierrot version of the NFS is faster than the conventional version, but that BN curves still provide 128-bits of security. To get a better estimate on the number of relations that can be obtained during the sieving stage, we then analyze the distribution of the sizes of the product of the norms. Using this data, we give some guidelines for choosing which Joux-Pierrot polynomials to use for a specific DLP instance. We attempt to find a model for the distribution in order to further improve on the Joux-Pierrot version of the NFS. Finally, we prove some tighter bounds on the product of the norms.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectCryptographyen
dc.subjectAlgebraic Number Theoryen
dc.subjectNumber Field Sieveen
dc.subjectPairing-Based Cryptographyen
dc.titleThe Number Field Sieve for Barreto-Naehrig Curves: Smoothness of Normsen
dc.typeMaster Thesisen
dc.pendingfalse
dc.subject.programCombinatorics and Optimizationen
uws-etd.degree.departmentCombinatorics and Optimizationen
uws-etd.degreeMaster of Mathematicsen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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