Academic literature on the topic 'Générateur de Nombres Aléatoires'
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Journal articles on the topic "Générateur de Nombres Aléatoires"
Chavel, P., J. Taboury, F. Devos, P. Garda, and K. Madani. "Utilisation du “speckle” comme générateur rapide de tableaux aléatoires binaires: Optimisation des paramètres." Annales des Télécommunications 43, no. 3-4 (March 1988): 148–56. http://dx.doi.org/10.1007/bf02999521.
Full textSamuel, Boris. "Étudier l'Afrique des grands nombres." Annales. Histoire, Sciences Sociales 71, no. 04 (December 2016): 897–921. http://dx.doi.org/10.1017/s0395264900049052.
Full textKomorowski, T. "La loi des grands nombres pour des marches aléatoires multidimensionelles au comportement ballistique sur des réseaux aléatoires avec des sites coréllés." Annales de l'Institut Henri Poincare (B) Probability and Statistics 39, no. 2 (April 2003): 263–85. http://dx.doi.org/10.1016/s0246-0203(02)00002-x.
Full textDionne, Georges, and Charles Vanasse. "Une évaluation empirique de la nouvelle tarification de l’assurance automobile (1992) au Québec." L’économétrie des transports et de l’assurance 73, no. 1-2-3 (February 9, 2009): 47–80. http://dx.doi.org/10.7202/602222ar.
Full textPost, Wendy, and Evert Van Imhoff. "Microsimulation methods for population projection." Population Vol. 53, HS1 (December 1, 1998): 97–136. http://dx.doi.org/10.3917/popu.p1998.10n1.0136.
Full textPost, Wendy, and Evert Van Imhoff. "Méthodes de micro-simulation pour des projections de population." Population Vol. 52, no. 4 (April 1, 1997): 889–932. http://dx.doi.org/10.3917/popu.p1997.52n4.0932.
Full textRaynaud de Fitte, Paul. "Théoràme ergodique ponctuel et lois fortes des grands nombres pour des points aléatoires d'un espace métrique à courbure négative." Annals of Probability 25, no. 2 (April 1997): 738–66. http://dx.doi.org/10.1214/aop/1024404417.
Full textDouge, Lahcen. "Vitesses de convergence dans la loi forte des grands nombres et dans l'estimation de la densité pour des variables aléatoires associées." Comptes Rendus Mathematique 344, no. 8 (April 2007): 515–18. http://dx.doi.org/10.1016/j.crma.2007.02.017.
Full textSAUVANT, D., P. SCHMIDELY, and J. j. DAUDIN. "Les méta-analyses des données expérimentales : applications en nutrition animale." INRAE Productions Animales 18, no. 1 (March 15, 2005): 63–73. http://dx.doi.org/10.20870/productions-animales.2005.18.1.3510.
Full textMoroh Joseph, Akaza, Goré Bi Boh Nestor, Anzara Gnigouan Kadio Guy Roland, and Kadio Guy Roland. "Evaluation De La Diversité Phénologique Et Morphologique De Neuf Variétés De Piment (Capsicum Spp.) Cultivées Dans La Région Du Haut-Sassandra (Côte d’Ivoire)." European Scientific Journal, ESJ 18, no. 3 (January 31, 2022): 278. http://dx.doi.org/10.19044/esj.2022.v18n3p278.
Full textDissertations / Theses on the topic "Générateur de Nombres Aléatoires"
Soucarros, Mathilde. "Analyse des générateurs de nombres aléatoires dans des conditions anormales d'utilisation." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00759976.
Full textEl, Haje Hussein Fida. "Tests statistiques sur les générateurs physiques de nombres aléatoires (TRNGs)." Aix-Marseille 1, 2007. http://www.theses.fr/2007AIX11018.
Full textStatistical tests related to the entropy estimation of a random source are widely used in testing of true random number generators (TRNGs,True Random Number Generators) intended for cryptographic applications. Namely, Maurer’s universal statistical test is nowadays viewed as a standard in this domain. Therefore, from a statistical viewpoint, this thesis is focused on further developments of entropy tests. It consists in three main parts : The design of a generic software tool called Genstar, Generic Statistical Test Architecture. Genstar consists in a collection of statistical tests for random number generators. This software is developed with the help of the objet oriented programming, thus providing a common interface enabling easy integration of new statistical tests in Genstar. The second important characteristic of Genstar is related to the problem of comparison of statistical tests. To compute the power of a given statistical test, Genstar is equipped with a family of statistical models of TRNGs. Improvements of Maurer’s test. To improve statistical characteristics of this test, we propose several approaches such as the m-spacing and the p-leave out methods. In the very core of these methods is a new interpretation of the Maurer test related to the maximum likelihood tests for the problem of uniformity testing. It’s well known that the standard Maurer test cannot detect long memory dependencies in the data. In order to overcome this difficulty, we propose two approaches. The first one, called (SD test), computes the distribution of distances between motifs in the data. The second approach called MaurerPP is based on the idea of the equivalence of motifs. This equivalence permits to reduce multiple motifs testing to one generic motif testing and resolves efficiently the problem of large blocks in the Maurer test. Standard normality of m-spacings entropy estimators under weaker assumptions on the probability density. The improvements of the Maurer test proposed in this thesis are essentially based on the m - spacing method in the entropy estimation. In this thesis, we show that under mild conditions on the probability density, i. E. For vanishing densities, the m-spacings entropy estimators have the standard Gaussian limit
Röck, Andrea. "Etudes quantitatives des générateurs de nombres (pseudo) aléatoires pour la cryptologie." Palaiseau, Ecole polytechnique, 2009. http://www.theses.fr/2009EPXX0014.
Full textAguilar, Angulo Julio Alexander. "Conception d'un générateur de valeurs aléatoires en technologie CMOS AMS 0.35µm." Thesis, Toulon, 2015. http://www.theses.fr/2015TOUL0012/document.
Full textRandom binary sequences generators constitute the essential part of a system Cryptographic. The speed, quality of generated suites, safety and consumption play an essential role in the selection of a generator. The security of the cryptographic system increases if such a system can be realized in a single circuit.The developed research work consists in the realization of a random number generator running in low power, low speed. The proposed circuit is analog and Valid all NIST tests ensuring the randomness of a signal.A realization on silicon in 0,35μm technology has been implemented and validated through NIST developed tests Matlab. In this thesis, a number of publications have demonstrated the added value search results
Roeck, Andrea. "Quantifications de la génération de nombres pseudo-aléatoires en cryptographie." Phd thesis, Ecole Polytechnique X, 2009. http://tel.archives-ouvertes.fr/tel-00428553.
Full textSantoro, Renaud. "Vers des générateurs de nombres aléatoires uniformes et gaussiens à très haut débit." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26804/26804.pdf.
Full textCherkaoui, Abdelkarim. "Générateurs de nombres véritablement aléatoires à base d'anneaux asynchrones : conception, caractérisation et sécurisation." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4011/document.
Full textTrue Random Number Generators (TRNG) are ubiquitous in many critical cryptographic applications (key generation, DSA signatures, etc). While many TRNG designs exist in literature, only a few of them deal with security aspects, which is surprising considering that they are low-level primitives in a cryptographic system (a weak TRNG can jeopardize a whole cryptographic system). The objective of this thesis was to study the advantages of asynchronous design techniques in order to build true random number generators that are secure and robust. We especially focused on digital oscillators called self-timed rings (STR), which use a handshake request and acknowledgement protocol to organize the propagation of data. Using some of the unique properties of STRs, we propose a new TRNG principle, with a detailed theoretical study of its behavior, and an evaluation of the TRNG core in ASICs and FPGAs. We demonstrate that this new principle allows to generate high quality random bit sequences with a very high throughput (> 100 Mbit/s). Moreover, it enables a realistic estimation for the entropy per output bit (this entropy level can be tuned using the entropy extractor parameters). We also present a complete methodology to design the TRNG, to properly set up the architecture with regards to the level of noise in the circuit, and to secure it against attacks and failures
Haddad, Patrick. "Caractérisation et modélisation de générateurs de nombres aléatoires dans les circuits intégrés logiques." Thesis, Saint-Etienne, 2015. http://www.theses.fr/2015STET4008/document.
Full textRandom number generators (RNG) are primitives that produce independent and uniformly distributed digital values, RNG are used in secure environments where the use of random numbers is required (generation of cryptographic keys, nonces in cryptographic protocols, padding values, countermeasures against side-channel attacks) and where the quality of the randomness is essential. All electronic components with a security function, such as smart cards, include one or more random generators (based on physical principles). Consequently, the RNG is an essential primitive for security applications. A flaw in security of the random number generation process directly impacts the security of the cryptographic system. This thesis focuses on the study of physical RNG (PTRNG), the modeling of its randomness and an electronic characterizations of the circuit. This study is in the context of the AIS-31 standard which is published by the BSI* and followed by many European countries. This standard is one of the few that require a characterizations of the PTRNG and a stochastic model. In this context, it is crucial to validate the evaluation methodology proposed by these standards and l focused on them during my thesis.*Bundesamt fiir Sicherheit in der Informationstechnik, federal agency German responsible for the security of information technology
Santoro, Renaud. "Vers des générateurs de nombres aléatoires uniformes et gaussiens à très haut débit." Phd thesis, Université Rennes 1, 2009. http://tel.archives-ouvertes.fr/tel-00438600.
Full textSantoro, Renaud. "Vers des générateurs de nombres aléatoires uniformes et gaussiens à très haut débit." Phd thesis, Rennes 1, 2009. https://theses.hal.science/docs/00/44/56/84/PDF/these_santoro.pdf.
Full textGenerating truly random numbers (TRNG) produce independent random binary sequences, unpredictable and uniformly distributed. A TRNG is necessary in many applications (cryptography, telecommunications, computer simulations, testing,. . . ) and their hardware implementation in embedded system is a delicate task and critical in many systems. Evaluation of a TRNG is complex because the quality of the sequence is a function of the noise source used in the external environment and the location within the target circuit. A primary objective of this thesis was to propose an objective methodology for analyzing the quality of TRNG embedded in SoCs. However, despite the quality of the selected generator, the random output of the TRNG can vary in time due to possible external attacks on the circuit, the speed of change in external conditions or aging components. To improve the robustness of a TRNG, the use of statistical tests (AIS 31, FIPS, Diehard) allows to analyze in time and in real conditions the TRNG in the circuit with a limited cost and for speeds up to 140 Mbps. The online tests help to prevent malicious attacks, optimize throughput and eliminate defective sequences. Finally, a hybrid combining TRNG and PRNG at very high data rate has been implemented on a reconfigurable target and within a VLSI circuit. The study conducted on the RNG hybrid resulted in an industrial partnership with the company Smart-Quantum. A device for generating random variables following a Gaussian or Rayleigh has also been proposed. The quality and speed of the generator exceeds those of prior art, which allows to consider applications such as real-time simulation of radio propagation channels
Books on the topic "Générateur de Nombres Aléatoires"
Analytic methods in the analysis and design of number-theoretic algorithms. Cambridge, Mass: MIT Press, 1985.
Find full textRichard, Baker. Générateur de Nombres Aléatoires Officiel: Cadeaux Mathématiques. Independently Published, 2022.
Find full textBook chapters on the topic "Générateur de Nombres Aléatoires"
Alt, Jean-Christian. "Une forme générale de la loi forte des grands nombres pour des variables aléatoires vectorielles." In Lecture Notes in Mathematics, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0083375.
Full text"Générateurs de nombres aléatoires." In Springer Undergraduate Texts in Mathematics and Technology, 247–70. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-69213-5_8.
Full textHill, David R. C. "Chapitre 23. Simulations stochastiques et calcul à haute performance : la « parallélisation » des générateurs de nombres pseudo-aléatoires." In Modéliser & simuler – Tome 2, 725. Editions Matériologiques, 2014. http://dx.doi.org/10.3917/edmat.varen.2014.01.0725.
Full text"La génération des nombres aléatoires." In La sécurité logicielle: une approche défensive, 133–72. Presses de l'Université Laval, 2021. http://dx.doi.org/10.2307/j.ctv1qp9gsh.7.
Full text"Nombres aléatoires et méthode Monte Carlo:." In Hasard, nombres aléatoires et méthode Monte Carlo, 1–6. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.3.
Full text"Production de nombres pseudo-aléatoires uniformes." In Hasard, nombres aléatoires et méthode Monte Carlo, 19–34. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.5.
Full text"Production de variables aléatoires corrélées." In Hasard, nombres aléatoires et méthode Monte Carlo, 73–90. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.7.
Full text"Tests d’hypothèses sur l’irrégularité des séquences de nombres." In Hasard, nombres aléatoires et méthode Monte Carlo, 91–148. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.8.
Full text"Front Matter." In Hasard, nombres aléatoires et méthode Monte Carlo, II—VI. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.1.
Full text"Méthodes déterministes d’évaluation." In Hasard, nombres aléatoires et méthode Monte Carlo, 157–74. Presses de l'Université du Québec, 2001. http://dx.doi.org/10.2307/j.ctv18ph276.10.
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