Last edited by JoJoshakar
Tuesday, May 12, 2020 | History

7 edition of Pseudorandomness and cryptographic applications found in the catalog.

Pseudorandomness and cryptographic applications

by Michael George Luby

  • 81 Want to read
  • 23 Currently reading

Published by Princeton University Press in Princeton, NJ .
Written in English

    Subjects:
  • Random number generators.,
  • Computational complexity.,
  • Data encryption (Computer science),
  • Numbers, Random.

  • Edition Notes

    Includes bibliographical references (p. [211]-219) and index.

    StatementMichael Luby.
    SeriesPrinceton computer science notes
    Classifications
    LC ClassificationsQA298 .L83 1996
    The Physical Object
    Paginationxvi, 234 p. ;
    Number of Pages234
    ID Numbers
    Open LibraryOL549665M
    ISBN 100691025460
    LC Control Number96130688
    OCLC/WorldCa34308468

    Cryptography is one of the most active areas in current mathematics research and applications. This book focuses on cryptography along with two related areas: the study of probabilistic proof systems, and the theory of computational pseudorandomness. Following Price: $ Part of the Lecture Notes in Computer Science book series (LNCS, volume ) Log in to check access. Buy eBook. USD Cryptographic Schemes Based on Number Theory. Applications and Implementations. Faster Modular Multiplication by Operand Scaling. Colin D. Walter.

    Hacking Secret Ciphers with Python: A beginner’s guide to cryptography and computer programming with Python. [amazon box=”″ template=”vertical”] Whether you’re a beginner or an advanced Python programmer, you’ll still find this book useful. It takes you from zero to . This book presents a rigorous and systematic treatment of the foundational issues: defining cryptographic tasks and solving new cryptographic problems using existing tools. It focuses on the basic mathematical tools: computational difficulty (one-way functions), pseudorandomness and zero-knowledge proofs.

    The first part of this book covers the key concepts of cryptography on an undergraduate level, from encryption and digital signatures to cryptographic protocols. Essential techniques are demonstrated in protocols for key exchange, user identification, electronic elections and digital cash.   Buy Pseudorandomness and Cryptographic Applications by Michael Luby from Waterstones today! Click and Collect from your local Waterstones Author: Michael Luby.


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Pseudorandomness and cryptographic applications by Michael George Luby Download PDF EPUB FB2

Pseudorandomness and Cryptographic Applications, by Michael Luby, presents the mathematical underpinnings of one-way hash functions, Pseudorandomness and cryptographic applications book can be used to implement pseudorandom number generators.

(These have a wide array of applications in cryptography.)Cited by: Pseudorandomness and Cryptographic Applications (Princeton Computer Science Notes) - Kindle edition by Luby, Michael. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Pseudorandomness and Cryptographic Applications (Princeton Computer Science Notes).4/5(1).

The first half of the book shows how to construct a pseudorandom generator from any one-way function. Building on this, the second half of the book shows how to construct other useful cryptographic primitives, such as private key cryptosystems, pseudorandom function generators, pseudorandom permutation generators, digital signature schemes, bit commitment protocols, and zero-knowledge.

Pseudorandomness and Cryptographic Applications Book Description: A pseudorandom generator is an easy-to-compute function that stretches a short random string into a much longer string that "looks" just like a random string to any efficient adversary.

Pseudorandomness and cryptographic applications. [Michael George Luby] -- "A pseudorandom generator is an easy-to-compute function that stretches a short random string into a much longer string that "looks" just like a random string to any efficient adversary.

Quantum nature of light and chaos theory helped the cryptographic researchers to improve the security of many application systems.

Pseudorandomness and cryptographic applications. Buy Pseudorandomness and Cryptographic Applications (Princeton Computer Science Notes) by Luby, Michael (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible : Michael Luby.

This is a survey of pseudorandomness, the theory of efficiently generating objects that "look random" despite being constructed using little or no randomness. This theory has significance for a number of areas in computer science and mathematics, including computational complexity, algorithms, cryptography, combinatorics, communications, and.

Pseudorandomness and Cryptographic Applications January January Read More. Authors: Michael George Luby, ; Luby Michael. Pseudorandomness and Cryptographic Applications (Princeton Computer Science Notes) Pdf. E-Book Review and Description: A pseudorandom generator is an easy-to-compute carry out that stretches a short random string proper right into a for for much longer string that "appears" equivalent to a random string to any surroundings pleasant adversary.

The Paperback of the Pseudorandomness and Cryptographic Applications by Michael Luby at Barnes & Noble. FREE Shipping on $35 or more. Due to COVID, orders may be delayed. permutations, and cryptographic reduction.

Lecture 3 35 Definition of a weak one-way function. Reduction from a weak one-way function to a one-way function. More efficient security preserving reductions from a weak one-way permutation to a one-way permutation; Lecture 4 49 Proof that the discrete log problem is either a one-way permutation or.

Cryptographic Applications of Analytic Number Theory: Complexity Lower Bounds and Pseudorandomness (Progress in Computer Science and Applied Logic) Pdf Kindle Free Download.

The book introduces new ways of using analytic number theory in cryptography and related areas, such as complexity theory and pseudorandom number generation. Key topics and features: various lower bounds on the complexity of some number theoretic and cryptographic problems, Brand: Birkhäuser Basel.

Cryptography is one of the most active areas in current mathematics research and applications. This book focuses on cryptography along with two related areas: the study of probabilistic proof systems, and the theory of computational pseudorandomness.

tography. In particular, we survey the basic tools of cryptography – compu-tational difficulty, pseudorandomness and zero-knowledge proofs – and the basic utilities – encryption, signatures, and general cryptographic protocols. Chapters 2 and 3 provides a wider perspective on two concepts mentioned in Chapter 1.

behavior of a random variable with a given probability distribution. In cryptography, these generators are employed to produce secret keys, to encrypt messages or to mask the content of certain protocols by combining the content with a random sequence.

A further application of cryptographically secure random numbers is the growing area of internetFile Size: KB. Pseudorandomness.

Reading: Katz-Lindell SectionBoneh-Shoup Chapter 3 Edited and expanded by Richard Xu in Spring The nature of randomness has troubled philosophers, scientists, statisticians and laypeople for many years. 1 Over the years people have given different answers to the question of what does it mean for data to be random, and what is the nature of probability.

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Cryptographic applications of analytic number theory: complexity lower bounds and pseudorandomness. [Igorʹ E Šparlinskij] The book introduces new techniques that imply rigorous lower bounds on the com plexity of some number-theoretic and cryptographic problems.Pseudorandomness and Cryptographic Applications Theory and Applications of Trapdoor Functions This book provides an introduction to these three, somewhat interwoven domains (i.e., cryptography Author: Robert Rolland.Notions of pseudorandomness and quasirandomness have been developed and investigated in several areas of theoretical computer science, combinatorics and number theory (including complexity theory, cryptography, graph theory, additive combinatorics and analytic number theory) to answer such questions.

At a very high level, the appeal of such.