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Algorithms of discrete logarithm in finite fields

Identifieur interne : 000C12 ( Hal/Corpus ); précédent : 000C11; suivant : 000C13

Algorithms of discrete logarithm in finite fields

Auteurs : Razvan Barbulescu

Source :

RBID : Hal:tel-00925228

Descripteurs français

Abstract

In this thesis we study at length the discrete logarithm problem in finite fields. In the first part, we focus on the notion of smoothness and on ECM, the fastest known smoothness test. We present an improvement to the algorithm by analyzing the Galois properties of the division polynomials. We continue by an application of ECM in the last stage of the number field sieve (NFS). In the second part, we present NFS and its related algorithm on function fields (FFS). We show how to speed up the computation of discrete logarithms in all the prime finite fields of a given bit-size by using a pre-computation. We focus later on the polynomial selection stage of FFS and show how to compare arbitrary polynomials with a unique function. We conclude the second part with an algorithm issued from the recent improvements for discrete logarithm. The key fact was to create a descent procedure which has a quasi-polynomial number of nodes, each requiring a polynomial time. This leads to a quasi-polynomial algorithm for finite fields of small characteristic.

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Le document en format XML

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<abstract xml:lang="fr">Dans cette thèse nous examinons en détail le problème du logarithme discret dans les corps finis. Dans la première partie, nous nous intéressons à la notion de friabilité et à l'algorithme ECM, le plus rapide test de friabilité connu. Nous présentons une amélioration de l'algorithme en analysant les propriétés galoisiennes des polynômes de division. Nous continuons la présentation par une application d'ECM dans la dernière étape du crible algébrique (NFS). Dans la deuxième partie, nous présentons NFS et son algorithme correspondant utilisant les corps de fonctions (FFS). Parmi les améliorations examinées, nous montrons qu'on peut accélérer le calcul de logarithme discret au prix d'un pré-calcul commun pour une plage de premiers ayant le même nombre de bits. Nous nous concentrons ensuite sur la phase de sélection polynomiale de FFS et nous montrons comment comparer des polynômes quelconques à l'aide d'une unique fonction. Nous concluons la deuxième partie avec un algorithme issu des récentes améliorations du calcul de logarithme discret. Le fait marquant est la création d'une procédure de descente qui a un nombre quasi-polynomial de nœuds, chacun exigeant un temps polynomial. Cela a conduit à un algorithme quasi-polynomial pour les corps finis de petite caractéristique.</abstract>
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