Catalog > Ciência > Matemática > Teoria da probabilidade, estatística > Johannes Buchmann: Einführung in die Kryptographie (PDF)

Johannes Buchmann
Einführung in die Kryptographie [PDF ebook]

Apoio

Capa do Johannes Buchmann: Einführung in die Kryptographie (PDF)

Der Band behandelt die aktuellen Techniken der modernen Kryptographie wie Verschlüsselung und digitale Signaturen. Alle mathematischen Grundlagen werden anhand zahlreicher Beispiele und Übungen behandelt, so dass Lesern ein fundiertes Verständnis der modernen Kryptographie vermittelt wird. In die 5. Auflage hat der Autor die Beweise für die Sicherheit des Lamport-Diffie-Einmalsignaturverfahrens und des Merkle-Signaturverfahrens sowie einen Abschnitt über algebraische Angriffe auf Blockchiffren neu aufgenommen.

€24.99

Tabela de Conteúdo

Ganze Zahlen.- Kongruenzen und Restklassenringe.- Verschlüsselung.- Wahrscheinlichkeit und perfekte Geheimhaltung.- Der DES-Algorithmus.- Der AES-Algorithmus.- Primzahlerzeugung.- Public-Key Verschlüsselung.- Faktorisierung.- Diskrete Logarithmen.- Kryptographische Hashfunktionen.- Digitale Signaturen.- Andere Gruppen.- Identifikation.- Secret Sharing.- Public-Key-Infrastrukturen.

Sobre o autor

Prof. Dr. Johannes Buchmann, Technische Universität Darmstadt Fachbereich Informatik

Compre este e-book e ganhe mais 1 GRÁTIS!

Língua Alemão ● Formato PDF ● Páginas 280 ● ISBN 9783642111860 ● Editora Springer Berlin ● Cidade Heidelberg ● País DE ● Publicado 2010 ● Edição 5 ● Carregável 24 meses ● Moeda EUR ● ID 2171537 ● Proteção contra cópia Adobe DRM

Requer um leitor de ebook capaz de DRM

Mais ebooks do mesmo autor(es) / Editor

Johannes Buchmann

4.020 Ebooks nesta categoria

Capa do Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

Capa do Deborah J. Rumsey: Probability For Dummies

Deborah J. Rumsey: Probability For Dummies

Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in busine …

Capa do Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Corresponding to the link of Itô’s stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This t …

Capa do N. W. Galwey: The False Discovery Rate

N. W. Galwey: The False Discovery Rate

The False Discovery Rate An essential tool for statisticians and data scientists seeking to interpret the vast troves of data that increasingly power our world First developed in the 1990s, the False …

Capa do Field Cady: The Data Science Handbook

Field Cady: The Data Science Handbook

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical …

Capa do Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to …

Capa do Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statis …

Capa do James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

James R. Carpenter & Jonathan W. Bartlett: Multiple Imputation and its Application

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation a …

Capa do Alan R. Simon: Data Lakes For Dummies

Alan R. Simon: Data Lakes For Dummies

Take a dive into data lakes ‘Data lakes’ is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a …

Capa do Sanford Weisberg: Applied Linear Regression

Sanford Weisberg: Applied Linear Regression

Praise for the Third Edition ‘…this is an excellent book which could easily be used as a course text…’ –International Statistical Institute The Fourth Edition of Applied Linear Regression provid …

Próxima página >>>